osmiMentalHealthInTech/analysis/modelSelection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": "true"
   },
   "source": [
    "# Table of Contents\n",
    " <p><div class=\"lev1 toc-item\"><a href=\"#OSMI-Health-Survey-2016:-Model-Selection\" data-toc-modified-id=\"OSMI-Health-Survey-2016:-Model-Selection-1\"><span class=\"toc-item-num\">1&nbsp;&nbsp;</span>OSMI Health Survey 2016: Model Selection</a></div><div class=\"lev1 toc-item\"><a href=\"#Post-Processing-Summary\" data-toc-modified-id=\"Post-Processing-Summary-2\"><span class=\"toc-item-num\">2&nbsp;&nbsp;</span>Post-Processing Summary</a></div><div class=\"lev1 toc-item\"><a href=\"#Post-Processing-EDA\" data-toc-modified-id=\"Post-Processing-EDA-3\"><span class=\"toc-item-num\">3&nbsp;&nbsp;</span>Post-Processing EDA</a></div><div class=\"lev3 toc-item\"><a href=\"#Search-for-interaction-effects\" data-toc-modified-id=\"Search-for-interaction-effects-3.0.1\"><span class=\"toc-item-num\">3.0.1&nbsp;&nbsp;</span>Search for interaction effects</a></div><div class=\"lev1 toc-item\"><a href=\"#Initial-Modeling\" data-toc-modified-id=\"Initial-Modeling-4\"><span class=\"toc-item-num\">4&nbsp;&nbsp;</span>Initial Modeling</a></div><div class=\"lev2 toc-item\"><a href=\"#Decision-Tree\" data-toc-modified-id=\"Decision-Tree-4.1\"><span class=\"toc-item-num\">4.1&nbsp;&nbsp;</span>Decision Tree</a></div><div class=\"lev2 toc-item\"><a href=\"#Logistic-Regression\" data-toc-modified-id=\"Logistic-Regression-4.2\"><span class=\"toc-item-num\">4.2&nbsp;&nbsp;</span>Logistic Regression</a></div><div class=\"lev3 toc-item\"><a href=\"#Diagnostics\" data-toc-modified-id=\"Diagnostics-4.2.1\"><span class=\"toc-item-num\">4.2.1&nbsp;&nbsp;</span>Diagnostics</a></div><div class=\"lev1 toc-item\"><a href=\"#Model-Selection\" data-toc-modified-id=\"Model-Selection-5\"><span class=\"toc-item-num\">5&nbsp;&nbsp;</span>Model Selection</a></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OSMI Health Survey 2016: Model Selection\n",
    "\n",
    "_By [Michael Rosenberg](mailto:mmrosenb@andrew.cmu.edu)._\n",
    "\n",
    "_**Description**: Contains my model selection related to the [OSMI Mental Health In Tech Survey 2016](https://osmihelp.org/research/). This notebook is written in `R`._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#imports\n",
    "library(tree)\n",
    "#constants\n",
    "options(warn=-1) #turn off warnings\n",
    "sigLev = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#read in the data\n",
    "mainFrame = read.csv(\"../data/processed/procDataset.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "mainFrame$diagnosedWithMHD = ifelse(mainFrame$diagnosedWithMHD == \"Yes\",1,0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Post-Processing Summary\n",
    "\n",
    "After processing the dataset using [../code/cleanDataset.py](../code/cleanDataset.py), we are left with a certain set of variables:\n",
    "\n",
    "* ```diagnosedWithMHD```: This is our main target variable. This is the variable that indicates whether an individual has been diagnosed with a mental health disorder by a medical professional. We give a $1$ for diagnosis, and a $0$ for a non-diagnosis.\n",
    "\n",
    "* ```workPosString```: This is a string that contains all the job descriptions of each respondent. Each of these job descriptions are separated using the \"or\" character (\"|\").\n",
    "\n",
    "* ```roleType```: A simplification of job descriptions to technical, non-technical, or both types of roles. This encoding is discussed partially in the [exploratory analysis](exploratoryDataAnalysis.ipynb).\n",
    "\n",
    "* ```companySize```: A representation of the size of the company. Individuals who state that they are self-employed are indicated as \"Self-employed\" in this variable.\n",
    "\n",
    "* ```age```: The age of the respondent.\n",
    "\n",
    "* ```workCountry```: The country where a respondent works.\n",
    "\n",
    "* ```workState```: The state where a respondent works if said respondent claims to work in the United States of America.\n",
    "\n",
    "* ```gender```: The gender of the respondent, mapped in [../data/preprocessed/genderCountFrame.csv](../data/preprocessed/genderCountFrame.csv). Unfortunately, because of the relatively few number of individuals who did not identify on the binary, I had to aggregate all non-binary individuals into an \"Other\" (```O```) category. All individuals who identify as women are given the ```W``` encoding, and all individuals who identify as men are given the ```M``` encoding."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Post-Processing EDA\n",
    "\n",
    "Now that we have finished most of the processing, let's take a look at some of the distributions of recoded variables. This may help us to get a sense of some of the variables that we previously did not graph in our [exploratory data analysis](exploratoryDataAnalysis.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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",
      "text/plain": [
       "Plot with title “Distribution of Role Type”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "roleCounts = table(mainFrame$roleType)\n",
    "barplot(roleCounts,main = \"Distribution of Role Type\",\n",
    "        xlab = \"Role Type\",ylab = \"Count\",col = \"Blue\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 1: Distribution of role type variable._\n",
    "\n",
    "We see that many individuals identify as solely technical individuals. However, there are as many individuals taking on non-technical and hybrid roles as there are technical individuals. This suggest that our dataset is a reasonable mix of worker types from across the industry."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA\nOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9\noU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvu\nuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd\n/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs\n4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTv\nYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7n\nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8\neUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m\n6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiY\nMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpk\nhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thK\nbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpX\nzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJ\nmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477h\nLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549\nHQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQ\nUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgY\nhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjz\nhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VVBg\n/m8AAEAASURBVHgB7N0L3HRlXS/8BzkKBKKCIgpqmthOEjHZWiKeKC2KXjYmleTO5K0syqis\nSHYktt9KY1N2wOiAbnBXkmAnMvOAAR0UDc+6gQd4AEU5HxRFfH9/mOVnzTjPfc/c9zzwzLq+\n1+fzYx1nzbq+1zw6/3vNrNmwQSNAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI\nECBAgAABAgQIEJgmsM20ldYRIEBgJPCNme4yRePurPtCclNy/ZTt/VX9Y3w2Gyr3d9s1J/DY\n3klc0pt/SOb3GS1/KdNP9LbdX7Mrne/9dU5b8nl3z8GfluyfXJl8Mvl08pVkWqvXaL3O5mmf\nyc7XzfOAJdl335zng0bnemOmV23h817U822X83xGUsfbM6lz78b+6swvS1uUx7L013kSIECA\nAIHmBN6XHn91ldQbzeOTeoMzrV2Yld0xXjNthzWu2z6Pe2XyuDU8/rA8pjunmm7bO8ZP9rZd\n3lt/X8xurk8rne99cV735XN8f57sy0l/fGp+rxVO4tAp+08+fnL5hBWOt8yb3tKzeNN90JH1\nPt9OOcffTD7fO+/+WN2d9X+dPDVZhrZej2Xoo3MkMHiBBwy+hzpIgMCWFnhYnuB1ycXJU7b0\nk42O/12Z1lWf30l2Hq1b9skQ+zTvmDw0D/iLZLLYvibrhni1Z16foe3/hHToP5JfTOrK7bRW\nn3Sporn+0FL/RjQCBAhscYHJ/xPa4k/oCQgQWFqB+gtvFUH1h5Udkj2SeoNT89WelNSb229J\n7ky6Vm9uLxst1Mdm1tvqIyz/sM6D1McDu3Na56EW8vDV+rS1ne9COj3lIPV6qqtoXfvvmXlH\n8g3dihmn/5b9bl5l38tX2W7zlhXYLYf/26R/Bbj+N+Zfk/pI5bcmhyTd/77U6+LspP4IU9s1\nAgQIECBAgMD9ItD/iN3fTDmDR2XdGUn/IzG/PGW/Ra7ab+L5qjBbZLs/PmK3pfu0SJ8teayX\n5ODda+mWzM/6KYdDe4+rx9f3l1pt9/VHvNb6fJP/u1EfB9x9YtB2zfJZSfeaqOn/mthna1tc\nq8fW1g/nQ6BpAVeQmh5+nSewboGrcoT6K39dNeo+Xlff7fj9pN7gVntx8oh75u796/CFo/lu\nUlcHfiSpqwdVcH0x+UzynqT+wnxX0rX6iM23dwuj6TGZXpu8K/lQUn95fm5S7ePJe5OfSOo7\nDBclb0/qjdaRSddOyUyt21yrN9zfnfyX5FPJe5K6sjHZXpoVDx6tfE+mdcWt36oAqC+gV6vi\nsz5eNEuf9st+q51vFRPPT16Q1BWpG5NLkup/uUxrP5SVDxtt+KtMNyX1+O9IHp98NKkxeH8y\nb5vnfB6eg/9gcvDEk/zsaPkfMq2x3FLtsTnwEaODl8FfJmVeFvV6uyMpgzcn9fqc1up1XGNU\n/xbqqsjnk7rS8efJ55LNtfq3UX2vx9VVlU8kNW71Oq3n3Vyr1/n3JDWtc353Mu2PGFn9de2b\nsua7kwOTu5P/TOrxm3udZNM9z7PW56vH91u95qrPXavnrn/Hk+22rKh/u/V6fGRyafLAZFqb\np0+LGO/7yv/H09nuY8R/mvn/kvxwcldS/y7eMZrPRCNAgAABAgTuC4F6E//VUVZ681VvnLr9\navptSdcuzEy37TXdytH0hZle39ve7ddN/yPb6qM1XXtTZrptk9OfHu3UvwJ0Vta9a+Ixtd9h\nE+u2zXLX+o+/Iiur4PtKMvl8f551uyT9Vm9uu/1e2d8wmq83ot32Xxqtm6VPK51vHabeWP9r\n0h27P61zPyWZ9sby/b3H1Bvms3vL3THqjdjxyTxt3vM5OAfvnm/atN4QrtQOzcb+4+a9gtR/\n/VZBWYXmzRPHrONX4fKoZLI9LyvqtdI/h26+ipyXJtNaFajl2+3bn34q679jyoO2ybpXJV9O\n+vvXfL3e699pt75eW5PtFVnxhaTbp5vW6+TXk/6/hSxuWO/z1TEm289lRfe8NT1ocoeJ5b2z\n/A0T6/qL8/ZpPeO9Xo95z/W6dLSzqmKxP+6fzfJ2fQjzBAgQIECAwJYXeF+eovs/55UKpIf2\n9qv9j+6d2oW9ba/prX945m/qbbs683+X1FWXfkHyG1nu2izFRL/AqTen3fnXtN6M7pWsVHD0\nH989th5XVwMm31iemnX9dn8USLvmBPrGdc59v64PVSjWm7t+6xdI3Rux6uNVSfe4mtabsv2S\nWdpazufgHLj/fJPzP7zKEx868fg3ZPlVK+Rl2dZv/TfMN2RD9yb0iszfmfTP5439B2b+ycmk\n9+cnHlOvn+ck/faiLNT6/rEnj1PLk4978cRjNvfarOPWv5d+e3kW+s/3pSxPnuvr+g/I/Hqe\nb+JQX1s8M3Pdedz6tbVrm1lLn9Yz3uvxWMu5dv8uy2vyf89+b21kHkWAAAECBAisR2DWAqne\nePff3P1q70n7b977BdIPZp/uTdI/9fav2e8cbauPDtVHjeqKRLVHJfWRtO5xNT0yeVLykKTa\nZIHzudG6l2baPf88BVJdNdg3qbZLck7SPX+9wXx80rW1FEiz9Gml862PwHXnU282X5rsmtRH\n+f5ncnfSba+P6/Tb+7PQbavpbyXVx2o/mvS31Zu7WdpazmenHPhxya8k3XPWG8NaV1np6kE2\nbzg06R43y/Rj9aBe679hrsfXRzbrNVWtXnsfTrrjXl0re+1fMt9tq4+oPXa07Zszrefptr17\ntL4mT0+6Iqy2n5d8U7J98szkU0n3uEszv3NSbYfksqTb9pHM75dUq3E7N+m21fTNSdd2z0yZ\ndtvPyPw+yY7Jj/XW15vwvZNq63m+e48w/b/vzeruPOqq6mQr86etkO41upY+1XOtdbzX47HW\nc+2PWZn9ZfJ9yeuSpyQaAQIECBAgcB8LvC/P172R+ZtVnrveWHX7ntbb98Le+q5Aqc39N+D1\nxv7E5ICkiq1q9YZiWtsvK7vnqWn3Rrbb9ycnttfyZDssK/rH2La3w+Tj6w1rvz0sC3WVpXv8\nz/Y2rqVAqofv1zvetD5t7ny/aeJxkwVQHfus3j7X1Ipe6xdIF2f9A3rbavbKpOtnFS+rtfWe\nz8vyBN3zTZ7rSs99aO9x3eNXmlbh0m+Tb5i/v78x8/3XahXFXXtiZvrPM/laqTeyVeCfnLwo\n6V7bZ2a+e9zGzFeR0m913P7VpWNHGyevtB3Sf1DmJ1+bb+5t79t+Jesf3ttWs/+RdOf066Nt\n63m+0SGmTuqPDt1zvW/KHs/pbe/260+reKq2lj7V49Y63uvxWOu5Xpfz7fp+RebrjwkaAQJb\nWGC7LXx8hydAoA2BeuPX/z/u+gv8au292aHeBNb/Du2anDTK5zOtK0p1JaJyS7Ke9pfrePAX\n89h/mXh8fe6/rhT819H6b5zYvtJiOS2yHdo7WL3p/dPecjf7x5k5erRQVwbqytLnRsv9yUVZ\nuLu/IvM1jo8arXvQxLZpi4f2Vq73fHqHmnv2d/KIjSs86sYVttWmyTHvv57rKs/OSf1B4AlJ\n16q/F3QLo2ld0alMtmf3Vrwp83f2lmv240kdqyuAvrVWpj323sk9/63X5mRxUa/NuiJTb+Qn\nWxWvXduYmcmrD3XV6qmjHR43mq7n+UaHmDr5TNZ2f9jYb+oes61cS5+mHXnW8V6PxyLOtf5I\nVeOuESCwhQW228LHd3gCBNoQeFi62X/z/+kZun1p9vmx5E+SbXv7PzTz9Ya+UsXSq5Jpb/yz\netVWb2LrGGtt9Yaz/no72a7prdjcG7wH9PbpZuvNddf6Xt26eaeP7D3g6sz3r250my7rZkbT\nb870vRPravGmKevmfTO2yPOZcjozr/qL7PnvM+/99TtOWmzOoSsk6gj1OpssML/+yPe+1h/e\n23B5b74/W+N2yGhFjVm1R9/z33v/U0XGaq/N3u5jHwWtN/r1fb/NtfroXbVH3/Pfe/8z7/P1\nHvp1s1f11tRz7ZD0X7tVwL+tt095Pb233M0+vpvJdNY+9R7ytdlZx/vRX3vEvXfa3NL+vae7\nZ/aKyRWWCRDYMgIKpC3j6qgEWhN4xkSHZymQ6iFnJO9Jfjw5Itk/6bcqlk5P6k3ku/sbZpyv\nAmk97UGbeXBdQeja5gqwfjHU7btjN5PptDdXvc0zzfbf2G3uezq7Txxpc+c7eRWjHjbLG/7+\n4Rd5Pv3j3pfzNS5fnnjCzTnc3Ntvc6+V3i73zNaVptuSbry66eR+/XHrxuzG3k71PZ1prft+\nzuS2fgFyXTbWlabNta6AWc/zbe7Ytf685EdHO9QfEl6S1B9Kulbf+fp/uoVMX5D8fW+5m11L\nn7rHdtN5xns9Hos41/X+71nXZ1MCBFYRUCCtAmQzAQKrCmyTPX61t1ddyfhIb3m12fqr6AnJ\nLyePSJ6d1Juj70vqylIdv5Y3VyDVG6zNtWlv+je377T1u2flY5LLJzb2/3Jdf+nvWv9N0OQb\n1epHXWmbpa3Up/7jN/YW9sj8NyaX9tbV7FN7y3V+n+ot92frjeJ628beAdZ7Pr1D3aez8zj0\nLav4fXSyMenaYzPz+qT+PXw0+dvktmRj8qSk2rfdOxn7b73uD+ytqYKhWn9sy7eurNSVna7V\n62byjwzdtv7r9K6s/K5kc4Vf95j1PF93jGnTzmHX0cZfy7Su+pXNtDbtjw2131r6NHn8ecZ7\nPR6LONf1/u/ZZN8tEyCwGYFZ/094Mw+3mgCBxgXqI0b/O+m/mfu5LM/yl87XZL8Lkvrr+NuS\navXRtTOTI5N/TrrWf4NUb+76rT6es7k2ue/m9ltp/a9lYxU3XavCrQqRrtXNDbrWf8PcN6nt\nL0r6V576x5w8z5X61D1XTf8xub23ot6M9632zPKv9ra/M/OTV0d6m9c9u7Wdz7o7tMoBPpLt\nX+zt8wu9+ZqtfwtHJDUGf5h04/zXme/a0Zl5ercwmv5spo8ezdcb+HKtVoVSN371+pl8vh/K\nun2Taa3+rXXtEZl5VreQaRVkFyb/mvxJ8sKk2nqe794jTP/vF7L613ubHpn5DyRP6a2r2Sqg\nfil5Uy30WvdvZy196h1m7tn1eCziXLvXz9wn7gEECBAgQIDA4gTel0PVG7RKvam5epRrM70l\n6bZ103/KuslWb7y67VUUde0XM9Otr2m9uT8keVpSb/zuTLrt9Saya/XRom59Td+ZvC75b0m1\nn0y67Zffs+br/3NYb5/at94gdq3/+O44f5eNL09OTsqhW//vme/erGX2ntuId9tqekryPcn/\nTOqv4/1tv5zlrq3Wp5XO95U5SP+49UbzV5N6zk29bfX8j0767f1Z6B776v6G0fy7e9t/a8r2\naavWcz4v6z3fNdMOvpl1h/YeV/25Luleq5ubviP7dK3GqHP4SreyN31Wb3vtt3NvW73R7x5b\n079JXpX8bVLFTLft9zLftYdl5pNJt62KrD9K6nVffyzo1tf095N+OzUL/e1vyfKPJvXvp/98\ntc+bk67V6/SSpHvsFZl/SfLcpAqQbn1N699h19b6fN3jNzd9QDa8N+k/b83Xa/Yfk48lNRaT\n28vqCUm1tfZpPeO9Vo+1nmu9ljuDH7mn1/5DgAABAgQI3K8C78uzd//nvNr07dm3/hI82TZX\nIO2UHc9LVjvuOdmn3lz024eyMPm43xnt8JO9bZf3H9SbX6ng6D/+/DymrgpNPlct35o8Pem3\nJ2bhhmTa/p/O+n/obesXSFl9z53xJh/X9Wml863H/lRydzL5+G65iqMfSCbbliiQ6jnWej6L\nKpC6fq80/WAPYz1vmB+Y4/x7stJzXZztkx+5rCKprkis9Lh3Zfs3JP32kCxcmkx73M1Z/1e9\nbf0CKavv+VHbK3vbpx2jivp+W8/z9Y8zbX7nrKxznHYe09ZV8X/gxIGenOV5+7Se8V6Px1rO\n9bqez49M9N0iAQJbSKD+gqMRIEBgLQL1f9z1BvutyXOT703qr7+ztvpL8PclVSjUX/kn2+ey\n4vjkxUm9Weq3n8rCtb0V9dGTLfG/Z1fkuFUE/X1Sf53vWr1R+7bkom7FaPrxTF+YfKK3/o7M\nV/H4jOSy3vpF9ukNOW45VQFWb5K7dmdm/jE5IKnveNxXbWs7ny3Z7y/k4DW2v5bcmPRbbasi\n9/nJ7f0Nmf9scmjyh0ldLem/Hurfw3FJ/bu6Nem367NwUHJ2Uq/7avXY/0yembwn6Vr/mLWu\n/rBQjz0n6b9OsrihXuuvSF5ZC722nufrHWbqbP3bqKtY9W/mbUn/31gW72k35L91lay+M1Xn\n/sGk39bSp/7j551fj8d9fa7z9s3+BAiMBCb/KguGAAEC94dAFTd7J48aPfnGTOsN5OQbvNHm\neybb5b/1UZu6EvXRpAquLdl2zsGr0KgrQfUmabX2sOywb1Jviqa98Zv2+EX0qSyflNSb50+O\nppncb21rO58tDVFXUR+bVAFfRceXklnag7PT/kldsfz8LA/IPvWarLGuwrv+oDBve0weUOdb\nf9i4MvlKslJb7/OtdOzatmNS51O5K/lMsjFZ7byyy9favH362gPXMLNej/vyXNfQPQ8hQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgsA2CpgQenN4+oake62zrAtcE4IrWEfSfAAECBAgQmF1AgTS71RD2\nfGM68fIhdEQfCMwmsMP/3bDhS4+fbV97ESBAgAABAgQ2bNgOQlMCO2zY8JJ0+PSmOq2zrQr8\nWTr+yge22nv9JkCAAAECBNYmoEBam9sSP+oBOffUSRqBwQv4n7fBD7EOEiBAgACBLSBQ75Y1\nAgQIECBAgAABAgQIEIiAAsnLgAABAgQIECBAgAABAiMBBZKXAgECBAgQIECAAAECBEYCCiQv\nBQIECBAgQIAAAQIECIwEFEheCgQIECBAgAABAgQIEBgJKJC8FAgQIECAAAECBAgQIDASUCB5\nKRAgQIAAAQIECBAgQGAkoEDyUiBAgAABAgQIECBAgMBIoMVfUtwjfd892TG5LbkpuT3RCBAg\nQIAAAQIECBBoXKCVK0gHZpxPT65LbkguTz6RbEqqSLo0OS3ZM9EIECBAgAABAgQIEGhUoIUr\nSCdmbE8aje+VmV6UVJFUhVFdSXpwsm9ybHJkclxyVqIRIECAAAECBAgQINCYwNALpKMynlUc\nnZeckFycTGvbZOUzk9cnZyYbkwsTjQABAgQIECBAgACBhgSG/hG7IzKWlyU13VxxVMP91eT8\n5LDk1uSYRCNAgAABAgQIECBAoDGBoRdIB2Q86yN1d844rjdmv0uSfWbc324ECBAgQIAAAQIE\nCAxIYOgF0rUZq4OS7Wccs7rDXRVVdQMHjQABAgQIECBAgACBxgSGXiCdkfHcPzk7OXiFse2+\ng1TfVdo5OWeFfW0iQIAAAQIECBAgQGCgAkO/SUPdjW6v5OTk8OTqZFNyfXJLsltSd7HbL9k7\nuSs5Prkg0QgQIECAAAECBAgQaExg6AVS3XzhlOTc5LXJIcnklaQ7su6apO5gd2pyVaIRIECA\nAAECBAgQINCgwNALpG5I6052R48W6qpR/f7RTkn9cOzNiUaAAAECBAgQIECAAIENQ/8O0rQh\n3jYrK9X3XZNdEo0AAQIECBAgQIAAAQLNFEgHZqxPT+qK0Q3J5Undqa6+j3RbcmlyWrJnohEg\nQIAAAQIECBAg0KhACx+xOzFje9JofK/MtH4XqYqkKozqo3Z1k4Z9k2OTI5Pjkrq5g0aAAAEC\nBAgQIECAQGMCQy+Qjsp4VnFUt+8+Ibk4mda623zXjRrOTDYmFyYaAQIECBAgQIAAAQINCQz9\nO0hHZCzrBg013VxxVMNdd7s7PzksuTU5JtEIECBAgAABAgQIEGhMYOgF0gEZz/pI3Z0zjuuN\n2e+SZJ8Z97cbAQIECBAgQIAAAQIDEhh6gXRtxuqgZPsZx2yP7FdFVd3AQSNAgAABAgQIECBA\noDGBoRdIZ2Q890/OTiZ/ILY/1N13kOq7Sjsn5/Q3midAgAABAgQIECBAoA2Bod+koe5Gt1dy\ncnJ4cnWyKbk+uSXZLam72O2X7J3clRyfXJBoBAgQIECAAAECBAg0JjD0AqluvnBKcm7y2uSQ\nZPJK0h1Zd01Sd7A7Nbkq0QgQIECAAAECBAgQaFBg6AVSN6R1J7ujRwt11ah+/2inpH449uZk\n0e1hOeAbk1m/+7RD9q2rWI9PNAIECBAgQIAAAQIE7ieBVgqkPm99tK6yJVtdlbokqcJnlvaI\n7PTcpPb/0iwPsA8BAgQIECBAgAABAosXaLFAqjvV1RWkHZPbkpuS25NFtvotpVfPccCnZ98f\nnmN/uxIgQIAAAQIECBAgsAUEhn4Xu47swMycntRH6m5ILk/qVt6bkiqSLk1OS/ZMNAIECBAg\nQIAAAQIEGhVo4QrSiRnbk0bje2Wm9cOxVSRVYVRXkuoudvsmxyZHJsclZyUaAQIECBAgQIAA\nAQKNCQy9QDoq41nFUf2+0QnJxcm01v0OUt3J7sxkY3JhohEgQIAAAQIECBAg0JDA0D9id0TG\nsu5gV9PNFUc13HU78POTw5L6/tAxiUaAAAECBAgQIECAQGMCQy+QDsh41kfq7pxxXG/MfnX3\nuX1m3N9uBAgQIECAAAECBAgMSGDoBdK1GauDkll/j6jucFdFVd3AQSNAgAABAgQIECBAoDGB\noRdIZ2Q890/OTg5eYWy77yDVd5V2Ts5ZYV+bCBAgQIAAAQIECBAYqMDQb9JQd6PbKzk5OTy5\nOtmUXJ/Uj8XultRd7PZL9k7uSo5PLkg0AgQIECBAgAABAgQaExh6gVQ3XzglOTd5bXJIMnkl\n6Y6suyapO9idmlyVaAQIECBAgAABAgQINCgw9AKpG9K6k93Ro4W6alS/f7RTUj8ce3OiESBA\ngAABAgQIECBAYEMrBVJ/qOujdRWNAAECBAgQIECAAAECYwJDv0nDWGctECBAgAABAgQIECBA\nYCUBBdJKOrYRIECAAAECBAgQINCUwNA/YvfyjGZ952jedmEeUD8wqxEgQIAAAQIECBAg0JDA\n0Aukn8xYPnkN4/lreYwCaQ1wHkKAAAECBAgQIEBgmQWGXiC9IIPz18nTk7rV958ms7RPzrKT\nfQgQIECAAAECBAgQGJbA0Aukz2S4np28N6li6aTkg4lGgAABAgQIECBAgACBrxNo4SYNd6bX\nLxv1/Pe+TsAKAgQIECBAgAABAgQIjARaKJCqqx9NfiWpGzY8KdEIECBAgAABAgQIECDwdQKt\nFEjV8dcnByQfrgWNAAECBAgQIECAAAECkwItFUiTfbdMgAABAgQIECBAgACBMQEF0hiHBQIE\nCBAgQIAAAQIEWhZQILU8+vpOgAABAgQIECBAgMCYgAJpjMMCAQIECBAgQIAAAQItCyiQWh59\nfSdAgAABAgQIECBAYExAgTTGYYEAAQIECBAgQIAAgZYFFEgtj76+EyBAgAABAgQIECAwJqBA\nGuOwQIAAAQIECBAgQIBAywIKpJZHX98JECBAgAABAgQIEBgTUCCNcVggQIAAAQIECBAgQKBl\nAQVSy6Ov7wQIECBAgAABAgQIjAkokMY4LBAgQIAAAQIECBAg0LKAAqnl0dd3AgQIECBAgAAB\nAgTGBBRIYxwWCBAgQIAAAQIECBBoWUCB1PLo6zsBAgQIECBAgAABAmMCCqQxDgsECBAgQIAA\nAQIECLQsoEBqefT1nQABAgQIECBAgACBMQEF0hiHBQIECBAgQIAAAQIEWhZQILU8+vpOgAAB\nAgQIECBAgMCYgAJpjMMCAQIECBAgQIAAAQItCyiQWh59fSdAgAABAgQIECBAYExAgTTGYYEA\nAQIECBAgQIAAgZYFFEgtj76+EyBAgAABAgQIECAwJqBAGuOwQIAAAQIECBAgQIBAywIKpJZH\nX98JECBAgAABAgQIEBgTUCCNcVggQIAAAQIECBAgQKBlAQVSy6Ov7wQIECBAgAABAgQIjAko\nkMY4LBAgQIAAAQIECBAg0LKAAqnl0dd3AgQIECBAgAABAgTGBBRIYxwWCBAgQIAAAQIECBBo\nWUCB1PLo6zsBAgQIECBAgAABAmMCCqQxDgsECBAgQIAAAQIECLQsoEBqefT1nQABAgQIECBA\ngACBMQEF0hiHBQIECBAgQIAAAQIEWhZQILU8+vpOgAABAgQIECBAgMCYgAJpjMMCAQIECBAg\nQIAAAQItCyiQWh59fSdAgAABAgQIECBAYExAgTTGYYEAAQIECBAgQIAAgZYFFEgtj76+EyBA\ngAABAgQIECAwJqBAGuOwQIAAAQIECBAgQIBAywIKpJZHX98JECBAgAABAgQIEBgTUCCNcVgg\nQIAAAQIECBAgQKBlAQVSy6Ov7wQIECBAgAABAgQIjAkokMY4LBAgQIAAAQIECBAg0LKAAqnl\n0dd3AgQIECBAgAABAgTGBBRIYxwWCBAgQIAAAQIECBBoWUCB1PLo6zsBAgQIECBAgAABAmMC\nCqQxDgsECBAgQIAAAQIECLQsoEBqefT1nQABAgQIECBAgACBMQEF0hiHBQIECBAgQIAAAQIE\nWhZQILU8+vpOgAABAgQIECBAgMCYgAJpjMMCAQIECBAgQIAAAQItCyiQWh59fSdAgAABAgQI\nECBAYExAgTTGYYEAAQIECBAgQIAAgZYFFEgtj76+EyBAgAABAgQIECAwJqBAGuOwQIAAAQIE\nCBAgQIBAywIKpJZHX98JECBAgAABAgQIEBgTUCCNcVggQIAAAQIECBAgQKBlAQVSy6Ov7wQI\nECBAgAABAgQIjAkokMY4LBAgQIAAAQIECBAg0LKAAqnl0dd3AgQIECBAgAABAgTGBBRIYxwW\nCBAgQIAAAQIECBBoWUCB1PLo6zsBAgQIECBAgAABAmMCCqQxDgsECBAgQIAAAQIECLQsoEBq\nefT1nQABAgQIECBAgACBMQEF0hiHBQIECBAgQIAAAQIEWhZQILU8+vpOgAABAgQIECBAgMCY\ngAJpjMMCAQIECBAgQIAAAQItCyiQWh59fSdAgAABAgQIECBAYExAgTTGYYEAAQIECBAgQIAA\ngZYFFEgtj76+EyBAgAABAgQIECAwJqBAGuOwQIAAAQIECBAgQIBAywIKpJZHX98JECBAgAAB\nAgQIEBgTUCCNcVggQIAAAQIECBAgQKBlAQVSy6Ov7wQIECBAgAABAgQIjAkokMY4LBAgQIAA\nAQIECBAg0LKAAqnl0dd3AgQIECBAgAABAgTGBBRIYxwWCBAgQIAAAQIECBBoWWC7Bju/R/q8\ne7JjcltyU3J7ohEgQIAAAQIECBAg0LhAK1eQDsw4n55cl9yQXJ58ItmUVJF0aXJasmeiESBA\ngAABAgQIECDQqEALV5BOzNieNBrfKzO9KKkiqQqjupL04GTf5NjkyOS45KxEI0CAAAECBAgQ\nIECgMYGhF0hHZTyrODovOSG5OJnWtsnKZyavT85MNiYXJhoBAgQIECBAgAABAg0JDP0jdkdk\nLC9Larq54qiG+6vJ+clhya3JMYlGgAABAgQIECBAgEBjAkMvkA7IeNZH6u6ccVxvzH6XJPvM\nuL/dCBAgQIAAAQIECBAYkMDQC6RrM1YHJdvPOGZ1h7sqquoGDhoBAgQIECBAgAABAo0JDL1A\nOiPjuX9ydnLwCmPbfQepvqu0c3LOCvvaRIAAAQIECBAgQIDAQAWGfpOGuhvdXsnJyeHJ1cmm\n5PrklmS3pO5it1+yd3JXcnxyQaIRIECAAAECBAgQINCYwNALpLr5winJuclrk0OSyStJd2Td\nNUndwe7U5KpEI0CAAAECBAgQIECgQYGhF0jdkNad7I4eLdRVo/r9o52S+uHYmxONAAECBAgQ\nIECAAAECG4b+HaRpQ7xtVlaq77smuyQaAQIECBAgQIAAAQIEmimQDsxYn57UFaMbksuTulNd\nfR/ptuTS5LRkz0QjQIAAAQIECBAgQKBRgRY+Yndixvak0fhemWn9LlIVSVUY1Uft6iYN+ybH\nJkcmxyV1cweNAAECBAgQIECAAIHGBIZeIB2V8aziqG7ffUJycTKtdbf5rhs1nJlsTC5MNAIE\nCBAgQIAAAQIEGhIYeoF0RMaybtBQ0ztXGNe62935yWHJFckxyXoKpAfl8ScnOySztLoVuUaA\nAAECBAgQIECAwP0sMPQC6YD41kfqViqO+kNwYxYuSfbpr1zDfN0Eom4Asf2Mj33gjPvZjQAB\nAgQIECBAgACBLSgw9ALp2tgdlFSh8uUZHPfIPlVU1Q0b1tPqh2hfOscBnp596+qVRoAAAQIE\nCBAgQIDA/Sgw9Nt8nxHb/ZOzk8kfiO2zd99Bqu8q7Zyc099ongABAgQIECBAgACBNgSGfgXp\nrAxjfb+nvg90eHJ1simpKzy3JLsldRe7/ZK9k7uS45MLEo0AAQIECBAgQIAAgcYEhl4g1c0X\nTknOTV6bHJJMXkm6I+uuSV6fnJpclWgECBAgQIAAAQIECDQoMPQCqRvSupPd0aOFumpUv3+0\nU1I/HHtzohEgQIAAAQIECBAgQGBDKwVSf6jro3WVrtWtuJ+Y/N/k9m6lKQECBAgQIECAAAEC\n7QkM/SYN3Yj+QGbekLwqedxoZd2G+y+SzycfSqpoelNSV5c0AgQIECBAgAABAgQaFBj6FaQq\nAN+WfG9vbH8p89+avDp5UfKupK4eHZi8JHlMUt9Vqu8vaQQIECBAgAABAgQINCQw9CtIL89Y\nVnH0ztH0FZnemPxz8rLkqOS5yf+bPC2pouk7khcnGgECBAgQIECAAAECjQkM/QrS92U8b0jq\nFt9fHI3tpkzrrnZ/n7x1tK6b/EZmjk2qSHpLt9KUAAECBAgQIECAAIE2BIZ+Bal+36g+QtcV\nRzWqdfXo7uRjtTDRav3lyb4T6y0SIECAAAECBAgQINCAwNALpCszhvURurqld9dekJnq9zd3\nK3rTuqL2lGRjb51ZAgQIECBAgAABAgQaERh6gVQfpdsjqY/TfX/yy8n/SuqudVUo/WDStbL4\n46TubveeRCNAgAABAgQIECBAoDGBoX8H6Y0Zz+9K6rtIzx6N7edG616T6ZnJzyT1vaT/mjwi\n+afk7EQjQIAAAQIECBAgQKAxgaEXSPWdoiOSunr0jOSy5O3JZ5NfTOpHYr87eVryheT3kvqt\nJI0AAQIECBAgQIAAgQYFhl4gdUP6tsxU+u2mLLw0qY/W1c0crky+kmgECBAgQIAAAQIECDQq\n0EqBtNLwdneuW2kf2wgQIECAAAECBAgQaEBg6DdpaGAIdZEAAQIECBAgQIAAgUUJKJAWJek4\nBAgQIECAAAECBAgsvYACaemHUAcIECBAgAABAgQIEFiUgAJpUZKOQ4AAAQIECBAgQIDA0gso\nkJZ+CHWAAAECBAgQIECAAIFFCSiQFiXpOAQIECBAgAABAgQILL2AAmnph1AHCBAgQIAAAQIE\nCBBYlIACaVGSjkOAAAECBAgQIECAwNILKJCWfgh1gAABAgQIECBAgACBRQkokBYl6TgECBAg\nQIAAAQIECCy9gAJp6YdQBwgQIECAAAECBAgQWJSAAmlRko5DgAABAgQIECBAgMDSCyiQln4I\ndYAAAQIECBAgQIAAgUUJKJAWJek4BAgQIECAAAECBAgsvYACaemHUAcIECBAgAABAgQIEFiU\ngAJpUZKOQ4AAAQIECBAgQIDA0gsokJZ+CHWAAAECBAgQIECAAIFFCSiQFiXpOAQIECBAgAAB\nAgQILL2AAmnph1AHCBAgQIAAAQIECBBYlIACaVGSjkOAAAECBAgQIECAwNILKJCWfgh1gAAB\nAgQIECBAgACBRQkokBYl6TgECBAgQIAAAQIECCy9gAJp6YdQBwgQIECAAAECBAgQWJSAAmlR\nko5DgAABAgQIECBAgMDSCyiQln4IdYAAAQIECBAgQIAAgUUJKJAWJek4BAgQIECAAAECBAgs\nvYACaemHUAcIECBAgAABAgQIEFiUgAJpUZKOQ4AAAQIECBAgQIDA0gsokJZ+CHWAAAECBAgQ\nIECAAIFFCSiQFiXpOAQIECBAgAABAgQILL2AAmnph1AHCBAgQIAAAQIECBBYlIACaVGSjkOA\nAAECBAgQIECAwNILKJCWfgh1gAABAgQIECBAgACBRQkokBYl6TgECBAgQIAAAQIECCy9gAJp\n6YdQBwgQIECAAAECBAgQWJSAAmlRko5DgAABAgQIECBAgMDSCyiQln4IdYAAAQIECBAgQIAA\ngUUJKJAWJek4BAgQIECAAAECBAgsvYACaemHUAcIECBAgAABAgQIEFiUgAJpUZKOQ4AAAQIE\nCBAgQIDA0gsokJZ+CHWAAAECBAgQIECAAIFFCSiQFiXpOAQIECBAgAABAgQILL2AAmnph1AH\nCBAgQIAAAQIECBBYlIACaVGSjkOAAAECBAgQIECAwNILKJCWfgh1gAABAgQIECBAgACBRQko\nkBYl6TgECBAgQIAAAQIECCy9gAJp6YdQBwgQIECAAAECBAgQWJSAAmlRko5DgAABAgQIECBA\ngMDSCyiQln4IdYAAAQIECBAgQIAAgUUJKJAWJek4BAgQIECAAAECBAgsvYACaemHUAcIECBA\ngAABAgQIEFiUgAJpUZKOQ4AAAQIECBAgQIDA0gsokJZ+CHWAAAECBAgQIECAAIFFCSiQFiXp\nOAQIECBAgAABAgQILL2AAmnph1AHCBAgQIAAAQIECBBYlIACaVGSjkOAAAECBAgQIECAwNIL\nKJCWfgh1gAABAgQIECBAgACBRQkokBYl6TgECBAgQIAAAQIECCy9gAJp6YdQBwgQIECAAAEC\nBAgQWJSAAmlRko5DgAABAgQIECBAgMDSCyiQln4IdYAAAQIECBAgQIAAgUUJKJAWJek4BAgQ\nIECAAAECBAgsvYACaemHUAcIECBAgAABAgQIEFiUgAJpUZKOQ4AAAQIECBAgQIDA0gsokJZ+\nCHWAAAECBAgQIECAAIFFCSiQFiXpOAQIECBAgAABAgQILL2AAmnph1AHCBAgQIAAAQIECBBY\nlIACaVGSjkOAAAECBAgQIECAwNILKJCWfgh1gAABAgQIECBAgACBRQkokBYl6TgECBAgQIAA\nAQIECCy9gAJp6YdQBwgQIECAAAECBAgQWJSAAmlRko5DgAABAgQIECBAgMDSCyiQln4IdYAA\nAQIECBAgQIAAgUUJKJAWJek4BAgQIECAAAECBAgsvYACaemHUAcIECBAgAABAgQIEFiUgAJp\nUZKOQ4AAAQIECBAgQIDA0gsokJZ+CHWAAAECBAgQIECAAIFFCSiQFiXpOAQIECBAgAABAgQI\nLL2AAmnph1AHCBAgQIAAAQIECBBYlIACaVGSjkOAAAECBAgQIECAwNILKJCWfgh1gAABAgQI\nECBAgACBRQkokBYl6TgECBAgQIAAAQIECCy9wHZL34P5O7BHHrJ7smNyW3JTcnuiESBAgAAB\nAgQIECDQuEArV5AOzDifnlyX3JBcnnwi2ZRUkXRpclqyZ6IRIECAAAECBAgQINCoQAtXkE7M\n2J40Gt8rM70oqSKpCqO6kvTgZN/k2OTI5LjkrEQjQIAAAQIECBAgQKAxgaEXSEdlPKs4Oi85\nIbk4mda2ycpnJq9Pzkw2JhcmGgECBAgQIECAAAECDQkM/SN2R2QsL0tqurniqIb7q8n5yWHJ\nrckxiUaAAAECBAgQIECAQGMCQy+QDsh41kfq7pxxXG/Mfpck+8y4v90IECBAgAABAgQIEBiQ\nwNALpGszVgcl2884ZnWHuyqq6gYOGgECBAgQIECAAAECjQkMvUA6I+O5f3J2cvAKY9t9B6m+\nq7Rzcs4K+9pEgAABAgQIECBAgMBABYZ+k4a6G91eycnJ4cnVyabk+uSWZLek7mK3X7J3cldy\nfHJBohEgQIAAAQIECBAg0JjA0AukuvnCKcm5yWuTQ5LJK0l3ZN01Sd3B7tTkqkQjQIAAAQIE\nCBAgQKBBgaEXSN2Q1p3sjh4t1FWj+v2jnZL64dibE40AAQIECBAgQIAAAQIbhv4dpGlDvG1W\nVqrvuya7JBoBAgQIECBAgAABAgSaKZAOzFifntQVoxuSy5O6U119H+m25NLktGTPRCNAgAAB\nAgQIECBAoFGBFj5id2LG9qTR+F6Zaf0uUhVJVRjVR+3qJg37JscmRybHJXVzB40AAQIECBAg\nQIAAgcYEhl4gHZXxrOKobt99QnJxMq11t/muGzWcmWxMLkw0AgQIECBAgAABAgQaEhh6gXRE\nxrJu0FDTO1cY17rb3fnJYckVyTHJegqk+i2luhK1fTJLe9QsO9mHAAECBAgQIECAAIEtKzD0\nAumA8NVH6lYqjvrCN2bhkmSf/so1zNdH956X7DDjY79hxv3sRoAAAQIECBAgQIDAFhQYeoF0\nbewOSupKzpdncNwj+1RRVTdsWE+r560Cadb29Oy4nitWsz6P/QgQIECAAAECBAgQWEFg6Lf5\nPiN93z85O5n8gdg+S/cdpPquUn087pz+RvMECBAgQIAAAQIECLQhMPQrSGdlGPdKTk4OT65O\nNiXXJ7ckuyV1F7v9kr2Tu5LjkwsSjQABAgQIECBAgACBxgSGXiDVzRdOSc5NXpsckkxeSboj\n665JXp+cmlyVaAQIECBAgAABAgQINCgw9AKpG9K6k93Ro4W6alQ3UdgpqR+OvTnRCBAgQIAA\nAQIECBAgsKGVAqk/1PXRukq1bZPHJZ9Pbko0AgQIECBAgAABAgQaFhj6TRpqaOs7SH+U/Fkt\njFpdQfrD5Pbk00l9J+mSpL5/pBEgQIAAAQIECBAg0KjA0K8gPTTjenFSv2tUPwRbrW75/a7k\nKcndyXuSuoL0tOR1SV1RekVS2zQCBAgQIECAAAECBBoSGPoVpF/JWFZx9MvJYaNx/alMqzj6\n46S2PTs5Knl88rvJjyfPTTQCBAgQIECAAAECBBoTGHqBVD/AennyW8mdo7F9Zqb1faO6SvSZ\n0bqafCl5ZVJ3sXteohEgQIAAAQIECBAg0JjA0Auk+gjhB5P+x+W+kuUrky8nk632q1t+19Uk\njQABAgQIECBAgACBxgSGXiB9IOP5/OQhvXE9P/PflOzZW9fNPjwzT03+s1thSoAAAQIECBAg\nQIBAOwJDL5BOz1DumHwoqY/WVfuTpAqnv0wekXTtyZmp4umu5K+7laYECBAgQIAAAQIECLQj\nsKgCqT7K9oRkm62M7v05n7rpQt3N7r1JXRl6Q/Lx5FnJxuRjyWeT+ihe3cHup5MPJxoBAgQI\nECBAgAABAo0JrKVAOjJGp/WcDs/89cknkquTFyRbU6vfP3p08pvJHskxyY8lVcxtnzwx2SX5\nP8kBSd3dTiNAgAABAgQIECBAoEGBeQukI2L01qSKjCow6gdX35x8Q/KOpAqNtyTfmGxNra4Q\n1a2+903qI3ePTA5OnpRU0bRrcnTykUQjQIAAAQIECBAgQKBRgXkLpP8Rp7ptdhUXX02+L6ki\n6XXJdyYHjparkNpaW93Frq50/XtSBdFNiUaAAAECBAgQIECAAIEN8xRIte/+SV0humRk98LR\n9OzR9LJM6/s99UOsGgECBAgQIECAAAECBJZKYJ4CqT5Gt1PymVEPt830sOSG5D9G62pS++zQ\nWzZLgAABAgQIECBAgACBpRCYp0C6OT2qYqi7XXb9vlB9f+e85O6kWn3E7jFJXUnSCBAgQIAA\nAQIECBAgsFQC8xRI1bH/nRyVvGc0X99DemNS7dXJvyRVLP15ohEgQIAAAQIECBAgQGCpBLab\n82xflf3rqlEVSbcmP528N6n2rKTubPcjSX0PSSNAgAABAgQIECBAgMBSCcx7BekR6d0rk7pz\n3cOS30+69nOZeXhyVfLkbqUpAQIECBAgQIAAAQIElkVg3gLpnenYTyVfSurjdf1Wd7b7cvKe\n5NhEI0CAAAECBAgQIECAwFIJrPYRu8enN4f0elR3sqtbeL+st66brWKru3JUN3PQCBAgQIAA\nAQIECBAgsFQCqxVIn01vXpPs3evV92a+srl2eza8bXMbrSdAgAABAgQIECBAgMDWKrBagXRL\nTvx7km8edeB3Mn1fMq0AqrvX3ZFcnFyZaAQIECBAgAABAgQIEFgqgdUKpOpMFTyVak9Nzk/+\nuhY0AgQIECBAgAABAgQIDElglgKp39+f7S+YJ0CAAAECBAgQIECAwJAE5i2Qqu/PSV6S7JU8\nMKnfPppsf54VZ0yutEyAAAECBAgQIECAAIGtWWDeAulF6cxfzNCh7sdjZ9jVLgQIECBAgAAB\nAgQIENg6BOYtkOqOdnWXuvqdo3cn1yXTWt2wQSNAgAABAgQIECBAgMBSCcxTIO2SntXvIp2W\nnLVUvXSyBAgQIECAAAECBAgQmEGgftx11vaF7Fi3/a4rSBoBAgQIECBAgAABAgQGJzBPgVQf\nm6vvFh2dzPO4waHpEAECBAgQIECAAAECwxSYt9B5eRjqx2DfmhyS7Js8ZErq7nYaAQIECBAg\nQIAAAQIElkpg3gLp7eld3d77+5O6mnRF8vkpeVXWaQQIECBAgAABAgQIEFgqgXlu0lAd+2By\nzQw9/PgM+9iFAAECBAgQIECAAAECW5XAvAXST2xVZ+9kCBAgQIAAAQIECBAgsECBeT9it8Cn\ndigCBAgQIECAAAECBAhsXQIKpK1rPJwNAQIECBAgQIAAAQL3o8C8H7GrH4l92Azn+3+yT0Uj\nQIAAAQIECBAgQIDA0gjMWyA9Pz17zCq925TtdYc7jQABAgQIECBAgAABAkslMG+BdGB6N/mx\nvFp+ZPItySlJXTmqqUaAAAECBAgQIECAAIGlEpi3QLp5M727Puv/M/loUrcCf19Sv5mkESBA\ngAABAgQIECBAYGkEJq8GrffEP5QD1I/H1kfxNAIECBAgQIAAAQIECCyVwKILpB3T+4ckey2V\ngpMlQIAAAQIECBAgQIBABOb9iN1Oecw2U+TqOHsmJye7Ju9PNAIECBAgQIAAAQIECCyVwLwF\n0sfSu9XuYndZ9nnjUik4WQIECBAgQIAAAQIECERg3gLp/DzmU1Pk7s66W5JLktOTzd3MIZs0\nAgQIECBAgAABAgQIbJ0C8xZIL906u+GsCBAgQIAAAQIECBAgsH6BeQuk/jPul4X9kwcnn0su\nTm5INAIECBAgQIAAAQIECCylwFoKpG9OT/8wOWSix18erf/ZTL86sc0iAQIECBAgQIAAAQIE\ntnqBeQukR6VHFyW7Jecl9aOwNyW1/oXJcUndxe7lSX0vSSNAgAABAgQIECBAgMDSCMxbIJ2a\nntWtvp+X/PNEL38uy6ckr0j+LPmXRCNAgAABAgQIECBAgMDSCMz7Q7HPSs9OSyaLo+pwfcSu\nPl5X30c6NNEIECBAgAABAgQIECCwVALzFEi7p2d1Q4aPrNDDu7Ltk8lTVtjHJgIECBAgQIAA\nAQIECGyVAvMUSPXbRpUnr9CTHbLticnlK+xjEwECBAgQIECAAAECBLZKgXkKpOpA3ZihbsDw\nPbUw0eq7SXV3u4ck757YZpEAAQIECBAgQIAAAQJbvcC8N2l4VXr0ncnfJHUThrqL3Y1J3cXu\n+ckjk7cmf5toBAgQIECAAAECBAgQWCqBeQukK9K7b0lOT74r+Y6ka3dk5sTkt7sVpgQIECBA\ngAABAgQIEFgmgXkLpOrb1ckLkvq9o/2ThyX1naNLkzsTjQABAgQIECBAgAABAkspMM93kB6X\nHtad7Lp2W2ben/xb8rzkgYlGgAABAgQIECBAgACBpRWYpUDaOb07M6nbdz93Sk8Pzbr6Adlr\nkrqBg0aAAAECBAgQIECAAIGlFFitQNo+vXpH8oPJdcm0j9B9LOvrO0nV3pgcf8+c/xAgQIAA\nAQIECBAgQGDJBFYrkP57+vPtybnJY5O/SyZbFUh15eiZyWeTX0/2TjQCBAgQIECAAAECBAgs\nlcBqBdKPpzdfTX4i+cIqPftAtv9CUh/J+5FV9rWZAAECBAgQIECAAAECW53AagXSN+WMq/C5\ndsYz/6vsd3dSd7fTCBAgQIAAAQIECBAgsFQCKxVIO6QnuySfmqNHX8y+tyR7zvEYuxIgQIAA\nAQIECBAgQGCrEFipQPpSzrBuzPCcZJsZz7Z+RPZBSd3RTiNAgAABAgQIECBAgMBSCaxUIFVH\nzk8enhxYCzO0F4z2+fAM+9qFAAECBAgQIECAAAECW5XAagXSaaOz/bNMV/te0Uuyz68ndTOH\nNycaAQIECBAgQIAAAQIElkpgtQLpnelN/bbRAcn7k7pLXd32e49ku+SJyX9L/jh5U7JT8tPJ\njYlGgAABAgQIECBAgACBpRKoIme1VgXPHcnPJL/V2/krmd+2t3x95n8++fPeOrMECBAgQIAA\nAQIECBBYGoFZCqS6WcMrk7pCVL9v9Jxkn6Qe+6GkbgN+cfL3yQ2JRoAAAQIECBAgQIAAgaUU\nmKVA6jr2wcxUNAIECBAgQIAAAQIECAxSYLXvIA2y0zpGTgbSAAAwRUlEQVRFgAABAgQIECBA\ngACBaQIKpGkq1hEgQIAAAQIECBAg0KSAAqnJYddpAgQIECBAgAABAgSmCSiQpqlYR4AAAQIE\nCBAgQIBAkwIKpCaHXacJECBAgAABAgQIEJgmoECapmIdAQIECBAgQIAAAQJNCiiQmhx2nSZA\ngAABAgQIECBAYJqAAmmainUECBAgQIAAAQIECDQpoEBqcth1mgABAgQIECBAgACBaQIKpGkq\n1hEgQIAAAQIECBAg0KSAAqnJYddpAgQIECBAgAABAgSmCSiQpqlYR4AAAQIECBAgQIBAkwIK\npCaHXacJECBAgAABAgQIEJgmoECapmIdAQIECBAgQIAAAQJNCiiQmhx2nSZAgAABAgQIECBA\nYJqAAmmainUECBAgQIAAAQIECDQpoEBqcth1mgABAgQIECBAgACBaQIKpGkq1hEgQIAAAQIE\nCBAg0KSAAqnJYddpAgQIECBAgAABAgSmCSiQpqlYR4AAAQIECBAgQIBAkwIKpCaHXacJECBA\ngAABAgQIEJgmoECapmIdAQIECBAgQIAAAQJNCiiQmhx2nSZAgAABAgQIECBAYJrAdtNWDnzd\nHunf7smOyW3JTcntiUaAAAECBAgQIECAQOMCrVxBOjDjfHpyXXJDcnnyiWRTUkXSpclpyZ6J\nRoAAAQIECBAgQIBAowItXEE6MWN70mh8r8z0oqSKpCqM6krSg5N9k2OTI5PjkrMSjQABAgQI\nECBAgACBxgSGXiAdlfGs4ui85ITk4mRa2yYrn5m8Pjkz2ZhcmGgECBAgQIAAAQIECDQkMPSP\n2B2RsbwsqenmiqMa7q8m5yeHJbcmxyQaAQIECBAgQIAAAQKNCQy9QDog41kfqbtzxnG9Mftd\nkuwz4/52I0CAAAECBAgQIEBgQAJDL5CuzVgdlGw/45jVHe6qqKobOGgECBAgQIAAAQIECDQm\nMPQC6YyM5/7J2cnBK4xt9x2k+q7Szsk5K+xrEwECBAgQIECAAAECAxUY+k0a6m50eyUnJ4cn\nVyebkuuTW5LdkrqL3X7J3sldyfHJBYlGgAABAgQIECBAgEBjAkMvkOrmC6ck5yavTQ5JJq8k\n3ZF11yR1B7tTk6sSjQABAgQIECBAgACBBgWGXiB1Q1p3sjt6tFBXjer3j3ZK6odjb040AgQI\nECBAgAABAgQIbBj6d5CmDfG2WVmpvu+a7JJoBAgQIECAAAECBAgQaKZAOjBjfXpSV4xuSC5P\n6k519X2k25JLk9OSPRONAAECBAgQIECAAIFGBVr4iN2JGduTRuN7Zab1u0hVJFVhVB+1q5s0\n7JscmxyZHJfUzR00AgQIECBAgAABAgQaExh6gXRUxrOKo7p99wnJxcm01t3mu27UcGayMbkw\n0QgQIECAAAECBAgQaEhg6AXSERnLukFDTe9cYVzrbnfnJ4clVyTHJOspkLbP41+U7JDM0r5x\nlp3sQ4AAAQIECBAgQIDAlhUYeoF0QPjqI3UrFUd94RuzcEmyT3/lGuYfkcfUR/tmLZB2XMNz\neAgBAgQIECBAgAABAgsWGHqBdG28Dkrqis6XZ7DbI/tUUVU3bFhPq6tQT5jjAE/Pvuu5YjXH\nU9mVAAECBAgQIECAAIHNCQz9Nt9npOP7J2cnkz8Q2zfpvoNU31XaOTmnv9E8AQIECBAgQIAA\nAQJtCAz9CtJZGca9kpOTw5Ork03J9cktyW5J3cVuv2Tv5K7k+OSCRCNAgAABAgQIECBAoDGB\noRdIdfOFU5Jzk9cmhySTV5LuyLprkrqD3anJVYlGgAABAgQIECBAgECDAkMvkLohrTvZHT1a\nqKtG9ftHOyX1w7E3JxoBAgQIECBAgAABAgQ2tFIg9Ye6PlpX6dqemXlI8qnk7m6lKQECBAgQ\nIECAAAEC7QkM/SYNs4zoz2enjycPmmVn+xAgQIAAAQIECBAgMFyBoV9Bqlt277LK8HW/efRt\n2a+7slTfQ9q0yuNsJkCAAAECBAgQIEBgYAJDL5DelPH61hnHrG7x3bVfy8xJ3YIpAQIECBAg\nQIAAAQJtCAy9QPqjDGPdxa5uyPD2pD5KN9menRVPS343+cJoo9t8jyBMCBAgQIAAAQIECLQk\n0EKB9L4MaP0e0vOTdyZvSOr23137zcxUgVRXjG7oVpoSIECAAAECBAgQINCeQAs3afhohrUK\noD9I6neO/jHpvneUWY0AAQIECBAgQIAAAQL3CrRQIFVP70zqbnXPS56YfDh5caIRIECAAAEC\nBAgQIEDgawKtFEhdh9+Vmbqz3T8lb0nqo3d7JBoBAgQIECBAgAABAgSa/KHYGzPuP5D8bVLf\nR9ot0QgQIECAAAECBAgQILChtStI/SF/cxbqFuBvTd6TfDnRCBAgQIAAAQIECBBoWGDod7Fb\nbWg3ZoejVtvJdgIECBAgQIAAAQIE2hBo+QpSGyOslwQIECBAgAABAgQIzCygQJqZyo4ECBAg\nQIAAAQIECAxdQIE09BHWPwIECBAgQIAAAQIEZhZQIM1MZUcCBAgQIECAAAECBIYuoEAa+gjr\nHwECBAgQIECAAAECMwsokGamsiMBAgQIECBAgAABAkMXUCANfYT1jwABAgQIECBAgACBmQUU\nSDNT2ZEAAQIECBAgQIAAgaELKJCGPsL6R4AAAQIECBAgQIDAzAIKpJmp7EiAAAECBAgQIECA\nwNAFFEhDH2H9I0CAAAECBAgQIEBgZgEF0sxUdiRAgAABAgQIECBAYOgCCqShj7D+ESBAgAAB\nAgQIECAws4ACaWYqOxIgQIAAAQIECBAgMHQBBdLQR1j/CBAgQIAAAQIECBCYWWC7mfe0IwEC\nBAgQIEBgGAK7pxt7DKMrekFgJoFrs9edM+1ppw0KJC8CAgQIECBAoDGBHS7asOFLT2ys07rb\ntsAfpPuvaJtg9t4rkGa3sicBAgQIECAwCIFtd9uw4f9LT148iN7oBIGVBX4+m9+6y8r72NoX\nUCD1NcwTIECAAAECjQg8NP3cr5G+6mbbAmqjecffTRrmFbM/AQIECBAgQIAAAQKDFVAgDXZo\ndYwAAQIECBAgQIAAgXkFFEjzitmfAAECBAgQIECAAIHBCiiQBju0OkaAAAECBAgQIECAwLwC\nCqR5xexPgAABAgQIECBAgMBgBRRIgx1aHSNAgAABAgQIECBAYF4BBdK8YvYnQIAAAQIECBAg\nQGCwAgqkwQ6tjhEgQIAAAQIECBAgMK+AAmleMfsTIECAAAECBAgQIDBYAQXSYIdWxwgQIECA\nAAECBAgQmFdAgTSvmP0JECBAgAABAgQIEBisgAJpsEOrYwQIECBAgAABAgQIzCugQJpXzP4E\nCBAgQIAAAQIECAxWQIE02KHVMQIECBAgQIAAAQIE5hVQIM0rZn8CBAgQIECAAAECBAYroEAa\n7NDqGAECBAgQIECAAAEC8wookOYVsz8BAgQIECBAgAABAoMVUCANdmh1jAABAgQIECBAgACB\neQUUSPOK2Z8AAQIECBAgQIAAgcEKKJAGO7Q6RoAAAQIECBAgQIDAvAIKpHnF7E+AAAECBAgQ\nIECAwGAFFEiDHVodI0CAAAECBAgQIEBgXgEF0rxi9idAgAABAgQIECBAYLACCqTBDq2OESBA\ngAABAgQIECAwr4ACaV4x+xMgQIAAAQIECBAgMFgBBdJgh1bHCBAgQIAAAQIECBCYV0CBNK+Y\n/QkQIECAAAECBAgQGKyAAmmwQ6tjBAgQIECAAAECBAjMK6BAmlfM/gQIECBAgAABAgQIDFZA\ngTTYodUxAgQIECBAgAABAgTmFVAgzStmfwIECBAgQIAAAQIEBiugQBrs0OoYAQIECBAgQIAA\nAQLzCiiQ5hWzPwECBAgQIECAAAECgxVQIA12aHWMAAECBAgQIECAAIF5BRRI84rZnwABAgQI\nECBAgACBwQookAY7tDpGgAABAgQIECBAgMC8AgqkecXsT4AAAQIECBAgQIDAYAUUSIMdWh0j\nQIAAAQIECBAgQGBeAQXSvGL2J0CAAAECBAgQIEBgsAIKpMEOrY4RIECAAAECBAgQIDCvgAJp\nXjH7EyBAgAABAgQIECAwWAEF0mCHVscIECBAgAABAgQIEJhXQIE0r5j9CRAgQIAAAQIECBAY\nrIACabBDq2MECBAgQIAAAQIECMwroECaV8z+BAgQIECAAAECBAgMVkCBNNih1TECBAgQIECA\nAAECBOYVUCDNK2Z/AgQIECBAgAABAgQGK6BAGuzQ6hgBAgQIECBAgAABAvMKKJDmFbM/AQIE\nCBAgQIAAAQKDFVAgDXZodYwAAQIECBAgQIAAgXkFFEjzitmfAAECBAgQIECAAIHBCiiQBju0\nOkaAAAECBAgQIECAwLwCCqR5xexPgAABAgQIECBAgMBgBRRIgx1aHSNAgAABAgQIECBAYF4B\nBdK8YvYnQIAAAQIECBAgQGCwAgqkwQ6tjhEgQIAAAQIECBAgMK+AAmleMfsTIECAAAECBAgQ\nIDBYAQXSYIdWxwgQIECAAAECBAgQmFdAgTSvmP0JECBAgAABAgQIEBisgAJpsEOrYwQIECBA\ngAABAgQIzCugQJpXzP4ECBAgQIAAAQIECAxWQIE02KHVMQIECBAgQIAAAQIE5hVQIM0rZn8C\nBAgQIECAAAECBAYrsN1ge7b5ju2RTbsnOya3JTcltycaAQIECBAgQIAAAQKNC7RyBenAjPPp\nyXXJDcnlySeSTUkVSZcmpyV7JhoBAgQIECBAgAABAo0KtHAF6cSM7Umj8b0y04uSKpKqMKor\nSQ9O9k2OTY5MjkvOSjQCBAgQIECAAAECBBoTGHqBdFTGs4qj85ITkouTaW2brHxm8vrkzGRj\ncmGiESBAgAABAgQIECDQkMDQP2J3RMbysqSmmyuOari/mpyfHJbcmhyTaAQIECBAgAABAgQI\nNCYw9ALpgIxnfaTuzhnH9cbsd0myz4z7240AAQIECBAgQIAAgQEJDL1AujZjdVCy/YxjVne4\nq6KqbuCgESBAgAABAgQIECDQmMDQC6QzMp77J2cnB68wtt13kOq7Sjsn56ywr00ECBAgQIAA\nAQIECAxUYOg3aai70e2VnJwcnlydbEquT25JdkvqLnb7JXsndyXHJxckGgECBAgQIECAAAEC\njQkMvUCqmy+ckpybvDY5JJm8knRH1l2T1B3sTk2uSjQCBAgQIECAAAECBBoUGHqB1A1p3cnu\n6NFCXTWq3z/aKakfjr050QgQIECAAAECBAgQILBh6N9BmjbE22Zlpfq+a7JLohEgQIAAAQIE\nCBAgQKCZAunAjPXpSV0xuiG5PKk71dX3kW5LLk1OS/ZMNAIECBAgQIAAAQIEGhVo4SN2J2Zs\nTxqN75WZ1u8iVZFUhVF91K5u0rBvcmxyZHJcUjd30AgQIECAAAECBAgQaExg6AXSURnPKo7q\n9t0nJBcn01p3m++6UcOZycbkwkQjQIAAAQIECBAgQKAhgaEXSEdkLOsGDTW9c4VxrbvdnZ8c\nllyRHJOsp0DqCq4dcpxZ2hNn2ck+BAgQIECAAAECBAhsWYGhF0gHhK8+UrdScdQXvjELlyT7\n9FeuYf4xecw/JLMWSGt4Cg8hQIAAAQIECBAgQGDRAkO/i921ATso2X5GuD2yXxVVdQOH9bS6\nalV3x6vnnSWHrOfJPJYAAQIECBAgQIAAgcUIDL1AOiNM+ydnJ5M/ENsX7D4SV99V2jk5p7/R\nPAECBAgQIECAAAECbQgM/SN2Z2UY90pOTg5Prk42JdcntyS7JXUXu/2SvZO7kuOTCxKNAAEC\nBAgQIECAAIHGBIZeINXNF05Jzk1em9RH2SavJN2RddckdQe7U5OrEo0AAQIECBAgQIAAgQYF\nhl4gdUNa3wk6erRQV43q9492SuqHY29ONAIECBAgQIAAAQIECGxopUDqD3V9tK6iESBAgAAB\nAgQIECBAYExg6DdpGOtsFlbr77bZp+5kV1eXNAIECBAgQIAAAQIEGhNYrWAYAsfD0om/SG5I\n6srRu5NvT6a1J2Vl7feqaRutI0CAAAECBAgQIEBg2AJDL5B2zfD9R/KipK4O1R3snpWcn9RN\nGzQCBAgQIECAAAECBAh8TWDoBdIvpKePSk5KHpnUbyJ9W/KR5FeS30k0AgQIECBAgAABAgQI\n3CMw9ALpGell3anu5OTWe3q8YcMHMq3bfb8veWVSRZRGgAABAgQIECBAgACBVW9asOxE+6QD\nVQjVD8D2W93a+3uSS5LfTOojeBoBAgQIECBAgAABAo0LDP0K0hUZ3+cl0+5KVzdseGFS30s6\nI9ncjRuySSNAgAABAgQIECBAoAWBoRdI/5xBrB+F/Y3kEVMG9Oqse35SH7/7++S7E40AAQIE\nCBAgQIAAgUYFhl4gvSHj+rGkvmt0VfLiZLJ9MisOS+5O6rtK1ba5d+K/BAgQIECAAAECBAi0\nJDD0AumLGcyDk99Nrky+lExrH8rKpybnTdtoHQECBAgQIECAAAECbQhs10A3b0sff2aUlQrC\nS7PPC5K6DXgVVhoBAgQIECBAgAABAo0JtFAg9Ye0Pka3WqsfltUIECBAgAABAgQIEGhQYKUr\nKg1y6DIBAgQIECBAgAABAi0LKJBaHn19J0CAAAECBAgQIEBgTECBNMZhgQABAgQIECBAgACB\nlgUUSC2Pvr4TIECAAAECBAgQIDAmoEAa47BAgAABAgQIECBAgEDLAgqklkdf3wkQIECAAAEC\nBAgQGBNQII1xWCBAgAABAgQIECBAoGUBBVLLo6/vBAgQIECAAAECBAiMCSiQxjgsECBAgAAB\nAgQIECDQsoACqeXR13cCBAgQIECAAAECBMYEFEhjHBYIECBAgAABAgQIEGhZQIHU8ujrOwEC\nBAgQIECAAAECYwIKpDEOCwQIECBAgAABAgQItCygQGp59PWdAAECBAgQIECAAIExAQXSGIcF\nAgQIECBAgAABAgRaFlAgtTz6+k6AAAECBAgQIECAwJiAAmmMwwIBAgQIECBAgAABAi0LKJBa\nHn19J0CAAAECBAgQIEBgTECBNMZhgQABAgQIECBAgACBlgUUSC2Pvr4TIECAAAECBAgQIDAm\noEAa47BAgAABAgQIECBAgEDLAgqklkdf3wkQIECAAAECBAgQGBNQII1xWCBAgAABAgQIECBA\noGUBBVLLo6/vBAgQIECAAAECBAiMCSiQxjgsECBAgAABAgQIECDQsoACqeXR13cCBAgQIECA\nAAECBMYEFEhjHBYIECBAgAABAgQIEGhZQIHU8ujrOwECBAgQIECAAAECYwIKpDEOCwQIECBA\ngAABAgQItCygQGp59PWdAAECBAgQIECAAIExAQXSGIcFAgQIECBAgAABAgRaFlAgtTz6+k6A\nAAECBAgQIECAwJiAAmmMwwIBAgQIECBAgAABAi0LKJBaHn19J0CAAAECBAgQIEBgTECBNMZh\ngQABAgQIECBAgACBlgUUSC2Pvr4TIECAAAECBAgQIDAmoEAa47BAgAABAgQIECBAgEDLAgqk\nlkdf3wkQIECAAAECBAgQGBNQII1xWCBAgAABAgQIECBAoGUBBVLLo6/vBAgQIECAAAECBAiM\nCSiQxjgsECBAgAABAgQIECDQsoACqeXR13cCBAgQIECAAAECBMYEFEhjHBYIECBAgAABAgQI\nEGhZQIHU8ujrOwECBAgQIECAAAECYwIKpDEOCwQIECBAgAABAgQItCygQGp59PWdAAECBAgQ\nIECAAIExAQXSGIcFAgQIECBAgAABAgRaFlAgtTz6+k6AAAECBAgQIECAwJiAAmmMwwIBAgQI\nECBAgAABAi0LKJBaHn19J0CAAAECBAgQIEBgTECBNMZhgQABAgQIECBAgACBlgUUSC2Pvr4T\nIECAAAECBAgQIDAmoEAa47BAgAABAgQIECBAgEDLAgqklkdf3wkQIECAAAECBAgQGBNQII1x\nWCBAgAABAgQIECBAoGUBBVLLo6/vBAgQIECAAAECBAiMCSiQxjgsECBAgAABAgQIECDQsoAC\nqeXR13cCBAgQIECAAAECBMYEFEhjHBYIECBAgAABAgQIEGhZQIHU8ujrOwECBAgQIECAAAEC\nYwIKpDEOCwQIECBAgAABAgQItCygQGp59PWdAAECBAgQIECAAIExAQXSGIcFAgQIECBAgAAB\nAgRaFlAgtTz6+k6AAAECBAgQIECAwJiAAmmMwwIBAgQIECBAgAABAi0LKJBaHn19J0CAAAEC\nBAgQIEBgTECBNMZhgQABAgQIECBAgACBlgUUSC2Pvr4TIECAAAECBAgQIDAmoEAa47BAgAAB\nAgQIECBAgEDLAgqklkdf3wkQIECAAAECBAgQGBNQII1xWCBAgAABAgQIECBAoGUBBVLLo6/v\nBAgQIECAAAECBAiMCSiQxjgsECBAgAABAgQIECDQsoACqeXR13cCBAgQIECAAAECBMYEFEhj\nHBYIECBAgAABAgQIEGhZQIHU8ujrOwECBAgQIECAAAECYwIKpDEOCwQIECBAgAABAgQItCyg\nQGp59PWdAAECBAgQIECAAIExge3GliwQIECAwBYWeMAvbNiw4+Fb+EkcnsBWJHDn32zYcPdv\nb0Un5FQIECCwooACaUUeGwkQILBogR2P2LDhoGds2PCsRR/Y8QhshQLvzTl9YNsNG76gQNoK\nR8cpESAwXUCBNN3FWgIECGxBgefk2CdtweM7NIGtReB/5EQ+sLWcjPMgQIDATAK+gzQTk50I\nECBAgAABAgQIEGhBQIHUwijrIwECBAgQIECAAAECMwkokGZishMBAgQIECBAgAABAi0IKJBa\nGGV9JECAAAECBAgQIEBgJgEF0kxMdiJAgAABAgQIECBAoAUBBVILo6yPBAgQIECAAAECBAjM\nJKBAmonJTgQIECBAgAABAgQItCCgQGphlPWRAAECBAgQIECAAIGZBBRIMzHZiQABAgQIECBA\ngACBFgQUSC2Msj4SIECAAAECBAgQIDCTgAJpJiY7ESBAgAABAgQIECDQgoACqYVR1kcCBAgQ\nIECAAAECBGYS2G6mvYa10x7pzu7JjsltyU3J7YlGgAABAgQIECBAgEDjAq1cQTow43x6cl1y\nQ3J58olkU1JF0qXJacmeiUaAAAECBAgQIECAQKMCLVxBOjFje9JofK/M9KKkiqQqjOpK0oOT\nfZNjkyOT45KzEo0AAQIECBAgQIAAgcYEhl4gHZXxrOLovOSE5OJkWtsmK5+ZvD45M9mYXJis\npz02D95+xgNUgXYftVvyPJ+8j57L0xC4PwWuvT+ffJXn/ny2+3e4CpLNgxCo1/rW2up/I/w7\n3FpHx3ktUuDmRR6siWMNvUA6IqN4WVLTO1cY0a9m2/nJYckVyTHJegqkx+Xxn07maXUOX5nn\nAWvY99YNG96Wh1U0Ai0I7FDfMdzK2ldyTn+Qc6poBFoQ2Fr/Hb56nw0bXt3CAOgjgRKov5Br\nMwrUlZMhtw+nc/+Z/PAcnfyX7Htjcvgcj5m260OyctYrSPX4u5P6jtSWbFUQP3RLPoFjE9jK\nBOr/EO7Yys5px5xP3SxGI9CKQP1/6kp/pLw/HHbOk+52fzyx5yRwPwnU5dy77qfn9rRbmcA7\ncj4fT2YtVOpNS72h+u1EI0CAAAECBAgQIECAwKAEfii9qY+uvT05eIWedd9B+rfsU9X1t6+w\nr00ECBAgQIAAAQIECBBYSoEqfF6Z1O8cVaG0KfnX5O+St4ymF2V6TVLbv5z8TKIRIECAAAEC\nBAgQIEBgsAJ1R7kqiK5OqhDqp4qnTyevSx6VaAQIECBAgAABAgQINCow9Js0TBvW+lLm7slO\nSd0U4eZEI0CAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAIH/v717AbatrusAjggiqFSD\nKVriA9GsQC010fIRYo4KliNp2WSTqcWkk5k5KmXhkNlDx8mmyVc5hiUJpkIlBKJGJr5Ty8Tg\nIg9B5SEqoKD2/d67lrPYs885e1/O9dx77uc38z1rrf/677XX+mw2Z//3WutcAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIbAqBW2yKo3AQBDZeoO+lnx1247pM/3WNXToq6/dKLko+tEZfqwkQ2H6Be+ah900OS25I\nPpuclnwlUQQIrJ/A4dnUgcl7kivnbHZcf0nWnTtn/R3T9pBkS/LRRBEgQIDALi5wy+z/t4d8\nK9O7rHI8/bA29j1xlX5WESCw/QIH5KH/mIzvten0mrQ/f/s37ZEECMwReHna+j77lTnr2tQv\nBLv+vC7MqeelreufPWedJgIECBDYBQXGAVIHR/0f/HNXOYaXDX3azwBpFSirCGynwH3yuM8n\nfY+dmhyd3C15eNL33wVJ1/kgFgRFYJ0Ejsx2+r567Zzt/eiw7vJhevCcPu8Y1t17zjpNBAgQ\nILALCowDpE9l33tpwftXOYbzs679+ovEAGkVKKsIbKfAu/O41QZAP5D1Fyf9QuMXE0WAwM0X\n2DebuD75nzmb+p209T35W8P0N2f67Jnl/u68cKbdIgECBAjswgLjAKnXTb8+Wekyu5/Iuv6S\nOG6YGiAFQhFYR4EnZ1t9j521xjbvl/XXJb0XqR/sFAECN1+g77v+/uslrtP6tyxckuyX9H3X\nM7vTGi89n3f2adrPPIHvikBH7IoAgfUVeEs21z/acMyczT4lbVcla/0RhzkP1USAwAIC4x9L\n6aV0q9XHsvIDyW2Tx6/W0ToCBBYW6ECov/8eOnnEbTL/U8npybXJ+5JHJvskYz1smHnX2GBK\nYCMFDJA2Ut9zb1aBfoP2pWR2gNT3288npyRfTxQBAusvcK9hk59ZYNMfGfr022tFgMDNF+gA\nqTUdIHUwdKtk/GKwg6CeSRoHRZnden9gzzyd2QVFYKMFDJA2+hXw/JtR4MYc1MlJL6c7aHKA\n/QbtzsnfT9rMEiCwvgIdIN2Q9B6jtaqXxLb6vlQECNx8gQ9nE1cn0wHSY7Lcwc84eBrPErV9\nrP5+/GDSKywUgQ0XMEDa8JfADmxSgfEyuydNjq+X112WnD1pM0uAwPoJ9NKeflPde5AWqb2H\nTs7oLqKlD4G1Bb6ZLu9OHpCMl9B1IPSh5Iqk9cnk0uQRSes+yR2SXoKnCOwUAgZIO8XLYCc2\nocB7ckyXJ72krtV/FLaDpZOS/gJRBAisv0AHRj1z1EHS3ZK16pChwyJnm9balvUECGwT6Jmi\nDo46SOp7rH/SezxrlNmt1cHQYcm+yXipnQHSVho/dgYBA6Sd4VWwD5tRoJcT9B+pHC+zOyLz\nt09cXhcERWAHCpw5bPsnF3iO8YPZ2Qv01YUAgcUExkvpDk/3Rw8PGe8/GrfQAVO/OOwgqu/V\n/uPN/5koAgQIENhEAtM/8z0eVq+p7jfa/UdjX59ckIx1aGa67sSxwZQAgXUR6JcSNyY9K9S/\nnrVSPTEr+h48L+mleYoAgfUT+Fw21UvN+0Vh7yvq78hp9c+A92qK5yfnJ29LFAECBAhsMoF5\nA6R+6OqHtH4r1muvX5aMZYA0SpgSWH+BZ2aTHfyckdxpzuYfl7YvJj3T27O7igCB9RX4m2yu\nA5/ed/vWFTZ9btr/I+l79TdW6KOZAAECBHZhgXkDpB7OK5P+z7/p9dZjGSCNEqYEdozA72ez\nfd/1T+6/MemZ3OOTXurT9m8kxyaKAIH1F3hqNjn+7nvGCpt/6aTPwSv00UyAAAECu7DASgOk\nB+eY+kviUzPHZoA0A2KRwA4Q+NVs8xPJ+EFtHBj1G+3e+6AIENgxAgdms+P77qAVnqL3HrXP\n/62wXjOBDRNw3fWG0XtiAgQIEPguCfR+h7sm1yYXJtcligABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQI7JYCt9gtj9pBEyBAYPMI3D2Hcr8FDucb6XPaAv02usth\n2YGDkzOTa9ZxZ/bOth6fXJKcu8R2+3vyYUn3607Jpcl/JR9PvpzsDLWjzHaGY7MPBAgQIECA\nAAECBJYSODa9v71ArlxqqxvX+VXDsRy6zrvwfcN2T15iu8ek74XD42aNO3h72hLb2pFdd5TZ\njtxn2yZAgMBOK7DXTrtndowAAQIElhF4azqfusoDegZJLS5wXLq+NLk+OSF5X/LfyR2TByV/\nkPxtcu/kRYkiQIAAAQIECBAgQGAnEBjPIL1wJ9iX9diFHXU2ZJkzSA/JgXwz6eV0P7zCQR2Y\n9i3Jtcntk42sHWW2kcfkuQkQILBhAs4gbRi9JyZAgMCGCXSwcHTy/uSy5GeSByaXJ2ckvcdm\ntvr74gHJI5PvTdrnpOSGZFq3ysITk/ESuY9nvme2OpCYrX3T8NNJ7/H53+SdyWp1SFa2f8/a\nbEnOTubta5r3uFfy2KT7elbyiWTR+sN03DN5TtKzRvOqbn+WvDx5VPIPybQW2dfteR2WMetr\n9rik96jtk3wsqfF1yVgHZKb3Zp2T3DbpZYUfTf4l+VqiCBAgQIAAAQIECOxSAttzBqk39fee\nmuOTTw3zvQSvbR3wPDOZVgcZHWB0/TXJV4b5Dh5unYx1/8ycl4z9vjzMt+1BybQ6gLkqad8v\nJH3ezyWnJ20bB1iZ3VrPy8+vJ99KLkpuTHqW54Skf0hhWn+ZhW6jx/TFYf51w3Ste5B6CV23\n3eOc3W6ablJ7Z6kDj9ladF+XfR2WMbtHduoDSR36OnxpmO9r1ucd68cz0z51vHqY7/JDE0WA\nAAECBAgQIEBglxMYB0ivyZ73TMxK6SVhY40fzDvYOCk5POnZhickHYRcmeyXtDoAeG/Se3F+\nKemgoWcxXpD0g/SLk1bbPp18NXlKsmfSvj2b1MHGJcn+Set2ST+oX5E8Imn17MXfJd1mMx0g\nHTW0vSfTOyetbuPNSfs+LRnr1zLTtjcl4zEckfk+V9tPTlarx2Rl+/Weo+2pZfZ1mdehx7uo\nWd0/mHQAOb5mmd3jyKQOPVt3q6Q1DpA6QH1r8tikAzxFgAABAgQIECBAYJcUODZ73Q/0a+UZ\nk6MbP5hvSdv4QXlcfVJmuq32afVDdZdf2YVJ9UN4/xR3z/jsnTw3ab/fS2brt9PQdS8ZVjx9\nWO5jptXB2KVJ+x46WdGBV9v6YX5at8nCtUkf0/1pXZT08rcO2Kb1nCx0GydPG+fMj/v26jnr\nDkhbL1l7/CRHZb6D0rGW2ddlXodxvxYx6wC1x/rOcacm0+OHdc8a2mravhcn886GDd1MCBAg\nsPsI9BtDRYAAAQK7vsBpOYQzVjmM989Z9+G09TK0aW0ZFvYfpvcfpqcM03HSD9VHjAuZ3neY\nP3HSNs72zNCfJ72HqTX2ffu2xe/87Nmrtv36d1q23UN07yyfl/QsRwcV0+qZkg5Qembp+uQH\nkzcl0/tssrjHW5JXdWaN6nO0vn/b5CY/+9y9n2q2PpqGH0t6KeKi+3rJZCOLvA7LmD142PZZ\nmc569SxUq6/FX2+d2/bj45nUXxEgQGC3FzBA2u3/EwBAgMAmETgnx7HIAGB6uD3TMlsdZLR6\niVxr/GB+0bbFFX92YNBB07x+X0h7Byz3TFrjh/bpIGHbmm33IY3znR4yLHTaD/ErVbc9nkWa\nt93uwyIDgIuHJ3jgnCf6dNqePmm/deZ7v9NYy+zrdB8XeR22x+wV447NmY6vxbjqgnHGlAAB\nAru7wF67O4DjJ0CAwG4s0HuQ1qrxjMp+a3T8WtZ3gNJL28bHjA/pZXwdTIyDryuGFb1EbnbQ\ncsth3TgZH/OuNPzp2Dhn+sm0jfcndbuz1X0bB32z66bL52ahx3L3pJfUjfua2T0+n7yhM0P1\nvqnpAGmZfR230ekir8O4H8uYPTXbvnz6RJP53hc2rdkzidN15gkQILBbCSzyy2K3AnGwBAgQ\nIHATgc8OSwffpHXbwu9mckpyj+S8bU1z/92gH8q6DlAuHPr0krJW22drPAsztvf5e2bq9knv\neZrNV9P25eQrSS8f65mqedu9a9r3Ttaqbq9/rKD1V8kyXyQus69bn2CJH8uYfWbYbgdBs17d\nTl+Ly4Y+JgQIECAwI2CANANikQABAgRuIvDPWeoA5dk3ad32F+lenLZHJb1c7J+G9S/MtB/A\np/WiYeFtw/S9w7QDrGn1DNCTpg2Z74Dn9KR/TOCxybR+JAvd1uuT7uM3k3OS7lPvCZrWc6YL\na8y/IOt75uWY5M3JPslsdSB34kzjMvs689A1F5cxe0e2Vo+6z56Re3XazkgOTxQBAgQIECBA\ngACBTSdwbI6oH4Z79qSDlNUy3sfSaR/zF8lsHZ+GrnvYZMXrhra3Z3p08qzkg0PbdOBxytB2\naqY/lzwhGdtek/npwOmELPd5xj8t/cuZPz/pmaC2H5qM1fubOvhoXpIcmXRw1TM2NyYPSMa6\nS2Z6KdwVSW0enfQyuGuT9j05WaQemE5bku5Ln/d9yZ8kr00+ktyQdF3bp4OxZfb1sGEbi74O\ny5i9Ydj2v2f65KSvxxuHtr6OY3Xg2eN4xdhgSoAAAQIECBAgQGBXFhgHSP2Qu1aOGA502Q/m\nPQtxXPLVyXNclfnZs0p7p60DrGm/DmL+KJkOjrK4dfmPM70o6X538HJi0jNQXZ4OkLK49bK5\nnkXpWaLxOC/O/NOS2eqA6czkG0n79nKyhycdfC06QErXrX+VrsezJRmfs9Ork+7LLyTzqpf4\nLbKvy74ONVzUbM/0fX7SfR33/VuZ74D0wGQsA6RRwpQAAQIECBAgQIDAkgL90H3PpGdJ9lrl\nsf0gf3DSszmLVAcUt1ukY/rsl9wvuWvSgdtq9T1ZechqHZZYd4f07Zmiuyezg72VNrPMvq60\njZXalzE7KBu5b7L/ShvTToAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAZhb4fwsi4wnLA64MAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Distribution of Encoded Gender”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genderCounts = table(mainFrame$gender)\n",
    "barplot(genderCounts,main = \"Distribution of Encoded Gender\",\n",
    "        xlab = \"Encoded Gender\",ylab = \"Counts\",col = \"Blue\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 2: Distribution of encoded gender._\n",
    "\n",
    "We see that most individuals identify as men in our datset, although there is a sizable number of individuals who identify as women and a small group of individuals who identify as being non-binary. For the sake of respecting the representation of non-binary individuals in this survey, I think it is important to keep this \"Other\" category to ensure that they are indicated in this group."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search for interaction effects\n",
    "\n",
    "It may be relevant for us to find some interaction effects within the data before we go into initial modeling steps. Let's first see if there is an interaction between gender and age."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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",
      "text/plain": [
       "Plot with title “Age on Diagnosed\n",
       "For Non-binary Persons”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#get gender-leveled frames\n",
    "femaleFrame = mainFrame[which(mainFrame$gender == \"W\"),]\n",
    "maleFrame = mainFrame[which(mainFrame$gender == \"M\"),]\n",
    "otherFrame = mainFrame[which(mainFrame$gender == \"O\"),]\n",
    "#then plot each boxplot\n",
    "par(mfrow = c(1,3))\n",
    "boxplot(age~diagnosedWithMHD,data = femaleFrame,xlab = \"Diagnosed\",\n",
    "        ylab = \"Age\",main = \"Age on Diagnosed\\nFor Women\")\n",
    "boxplot(age~diagnosedWithMHD,data = maleFrame,xlab = \"Diagnosed\",\n",
    "        ylab = \"Age\",main = \"Age on Diagnosed\\nFor Men\")\n",
    "boxplot(age~diagnosedWithMHD,data = otherFrame,xlab = \"Diagnosed\",\n",
    "        ylab = \"Age\",main = \"Age on Diagnosed\\nFor Non-binary Persons\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 3: Age on Diagnosed conditioned by gender of the individual._\n",
    "\n",
    "As we can tell, age does not seem to be having a severe interaction with men and women age ranges, but it seems as though it is making a slight predictive difference when we condition on individuals of other genders. This is a very small subset of the dataset, which suggests that we might not need to consider it for initial modeling. That being said, this interaction will likely be very relevant for when we are considering interactions in the model selection phase."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>W</th><th scope=col>M</th><th scope=col>O</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>0</th><td>0.5842697</td><td>0.3702929</td><td>0.7142857</td></tr>\n",
       "\t<tr><th scope=row>1</th><td>0.6706349</td><td>0.5017301</td><td>0.8333333</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       "  & W & M & O\\\\\n",
       "\\hline\n",
       "\t0 & 0.5842697 & 0.3702929 & 0.7142857\\\\\n",
       "\t1 & 0.6706349 & 0.5017301 & 0.8333333\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "1. 0.584269662921348\n",
       "2. 0.670634920634921\n",
       "3. 0.370292887029289\n",
       "4. 0.501730103806228\n",
       "5. 0.714285714285714\n",
       "6. 0.833333333333333\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  W         M         O        \n",
       "0 0.5842697 0.3702929 0.7142857\n",
       "1 0.6706349 0.5017301 0.8333333"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#make isUSA variable\n",
    "mainFrame$isUSA = 0\n",
    "mainFrame[which(mainFrame$workCountry == \"United States of America\"),\n",
    "          \"isUSA\"] = 1\n",
    "#then make level vectors\n",
    "genderLevs = c(\"W\",\"M\",\"O\")\n",
    "usaLevs = c(0,1)\n",
    "interactionMat = matrix(0,nrow = length(usaLevs),ncol = length(genderLevs))\n",
    "#fill with proportion diagnosed in these sections\n",
    "for (i in 1:length(genderLevs)){\n",
    "    for (j in 1:length(usaLevs)){\n",
    "        #get considered level\n",
    "        genderLev = genderLevs[i]\n",
    "        usaLev = usaLevs[j]\n",
    "        #get subseted frame\n",
    "        subFrame = mainFrame[which(mainFrame$gender == genderLev &\n",
    "                                   mainFrame$isUSA == usaLev),]\n",
    "        #get proportion\n",
    "        propDiagnosed = sum(subFrame$diagnosedWithMHD) / dim(subFrame)[1]\n",
    "        #then store it\n",
    "        interactionMat[j,i] = propDiagnosed\n",
    "    }\n",
    "}\n",
    "#name parts\n",
    "rownames(interactionMat) = usaLevs\n",
    "colnames(interactionMat) = genderLevs\n",
    "interactionMat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Table 1: Proportion diagnosed given whether the respondent works in the USA (rows) and the gender of the respondent (columns)._\n",
    "\n",
    "We see that there is some slight interaction effects, as those of other genders in the USA seem to have a high rate of mental health diagnosis but those who are men and work outside of the USA seem to have very low rates of mental health diagnosis. This suggests that there is a meaningful interaction between these two features that shouldn't be ignored in our initial modeling stage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#have a function for making an interaction effect\n",
    "makeInteractionMat <- function(rowVar,colVar){\n",
    "    #helper for making the interaction matrix for other relevant variables\n",
    "    rowLevs = unique(mainFrame[,rowVar])\n",
    "    colLevs = unique(mainFrame[,colVar])\n",
    "    interactionMat = matrix(0,nrow = length(rowLevs),ncol = length(colLevs))\n",
    "    #fill with proportion diagnosed in these sections\n",
    "    for (i in 1:length(rowLevs)){\n",
    "        for (j in 1:length(colLevs)){\n",
    "            #get considered level\n",
    "            rowLev = rowLevs[i]\n",
    "            colLev = colLevs[j]\n",
    "            #get subseted frame\n",
    "            subFrame = mainFrame[which(mainFrame[,rowVar] == rowLev &\n",
    "                                   mainFrame[,colVar] == colLev),]\n",
    "            #get proportion\n",
    "            propDiagnosed = sum(subFrame$diagnosedWithMHD) / dim(subFrame)[1]\n",
    "            #then store it\n",
    "            interactionMat[i,j] = propDiagnosed\n",
    "        }\n",
    "    }\n",
    "    #name parts\n",
    "    rownames(interactionMat) = rowLevs\n",
    "    colnames(interactionMat) = colLevs\n",
    "    return(interactionMat)\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>M</th><th scope=col>W</th><th scope=col>O</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>technical</th><td>0.4411765</td><td>0.6530612</td><td>0.6428571</td></tr>\n",
       "\t<tr><th scope=row>non-technical</th><td>0.4680000</td><td>0.6015625</td><td>0.8333333</td></tr>\n",
       "\t<tr><th scope=row>both</th><td>0.4222973</td><td>0.7272727</td><td>0.9166667</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       "  & M & W & O\\\\\n",
       "\\hline\n",
       "\ttechnical & 0.4411765 & 0.6530612 & 0.6428571\\\\\n",
       "\tnon-technical & 0.4680000 & 0.6015625 & 0.8333333\\\\\n",
       "\tboth & 0.4222973 & 0.7272727 & 0.9166667\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "1. 0.441176470588235\n",
       "2. 0.468\n",
       "3. 0.422297297297297\n",
       "4. 0.653061224489796\n",
       "5. 0.6015625\n",
       "6. 0.727272727272727\n",
       "7. 0.642857142857143\n",
       "8. 0.833333333333333\n",
       "9. 0.916666666666667\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "              M         W         O        \n",
       "technical     0.4411765 0.6530612 0.6428571\n",
       "non-technical 0.4680000 0.6015625 0.8333333\n",
       "both          0.4222973 0.7272727 0.9166667"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genderRoleInteractionMat = makeInteractionMat(\"roleType\",\"gender\")\n",
    "genderRoleInteractionMat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Table 2: Proportion Diagnosed on role type (rows) and gender of the respondent (columns)._\n",
    "\n",
    "We see that there are some slight interaction effects occuring here, as it seems like individuals who take on both technical and non-technical positions who identify as women or other genders tend to have high rates of mental health diagnosis. This may suggest that individuals of underpriveleged backgrounds in technology who are taking on many roles tend to face a level of stress and anxiety that leads to a form of mental health diagnosis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>26-100</th><th scope=col>6-25</th><th scope=col>Self-Employed</th><th scope=col>More than 1000</th><th scope=col>100-500</th><th scope=col>500-1000</th><th scope=col>1-5</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>technical</th><td>0.5112360</td><td>0.4416667</td><td>0.5428571</td><td>0.4862385</td><td>0.5238095</td><td>0.4000000</td><td>0.4545455</td></tr>\n",
       "\t<tr><th scope=row>non-technical</th><td>0.5200000</td><td>0.5121951</td><td>0.5053763</td><td>0.5955056</td><td>0.5074627</td><td>0.5000000</td><td>0.2142857</td></tr>\n",
       "\t<tr><th scope=row>both</th><td>0.4126984</td><td>0.4081633</td><td>0.5161290</td><td>0.5964912</td><td>0.4528302</td><td>0.4666667</td><td>0.6923077</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lllllll}\n",
       "  & 26-100 & 6-25 & Self-Employed & More than 1000 & 100-500 & 500-1000 & 1-5\\\\\n",
       "\\hline\n",
       "\ttechnical & 0.5112360 & 0.4416667 & 0.5428571 & 0.4862385 & 0.5238095 & 0.4000000 & 0.4545455\\\\\n",
       "\tnon-technical & 0.5200000 & 0.5121951 & 0.5053763 & 0.5955056 & 0.5074627 & 0.5000000 & 0.2142857\\\\\n",
       "\tboth & 0.4126984 & 0.4081633 & 0.5161290 & 0.5964912 & 0.4528302 & 0.4666667 & 0.6923077\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "1. 0.51123595505618\n",
       "2. 0.52\n",
       "3. 0.412698412698413\n",
       "4. 0.441666666666667\n",
       "5. 0.51219512195122\n",
       "6. 0.408163265306122\n",
       "7. 0.542857142857143\n",
       "8. 0.505376344086022\n",
       "9. 0.516129032258065\n",
       "10. 0.486238532110092\n",
       "11. 0.595505617977528\n",
       "12. 0.596491228070175\n",
       "13. 0.523809523809524\n",
       "14. 0.507462686567164\n",
       "15. 0.452830188679245\n",
       "16. 0.4\n",
       "17. 0.5\n",
       "18. 0.466666666666667\n",
       "19. 0.454545454545455\n",
       "20. 0.214285714285714\n",
       "21. 0.692307692307692\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "              26-100    6-25      Self-Employed More than 1000 100-500  \n",
       "technical     0.5112360 0.4416667 0.5428571     0.4862385      0.5238095\n",
       "non-technical 0.5200000 0.5121951 0.5053763     0.5955056      0.5074627\n",
       "both          0.4126984 0.4081633 0.5161290     0.5964912      0.4528302\n",
       "              500-1000  1-5      \n",
       "technical     0.4000000 0.4545455\n",
       "non-technical 0.5000000 0.2142857\n",
       "both          0.4666667 0.6923077"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "roleCompanyInteractionMat = makeInteractionMat(\"roleType\",\"companySize\")\n",
    "roleCompanyInteractionMat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Table 3: Proportion Diagnosed on role type (rows) and company size of the respondent (columns)._\n",
    "\n",
    "It is difficult to point out a clear interaction effect in this context: Perhaps it might be easier to consider this interaction at a later step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>technical</th><th scope=col>non-technical</th><th scope=col>both</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>0</th><td>0.4086022</td><td>0.4459459</td><td>0.3831169</td></tr>\n",
       "\t<tr><th scope=row>1</th><td>0.5510204</td><td>0.5635593</td><td>0.5681818</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|lll}\n",
       "  & technical & non-technical & both\\\\\n",
       "\\hline\n",
       "\t0 & 0.4086022 & 0.4459459 & 0.3831169\\\\\n",
       "\t1 & 0.5510204 & 0.5635593 & 0.5681818\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "1. 0.408602150537634\n",
       "2. 0.551020408163265\n",
       "3. 0.445945945945946\n",
       "4. 0.563559322033898\n",
       "5. 0.383116883116883\n",
       "6. 0.568181818181818\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "  technical non-technical both     \n",
       "0 0.4086022 0.4459459     0.3831169\n",
       "1 0.5510204 0.5635593     0.5681818"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "roleCountryInteractionMat = makeInteractionMat(\"isUSA\",\"roleType\")\n",
    "roleCountryInteractionMat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Table 4: Proportion diagnosed on whether the work is in the united state (rows) and the role type of the respondent._\n",
    "\n",
    "Unfortunately, we see very little interaction between these two variables."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initial Modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Decision Tree\n",
    "\n",
    "As discussed in the conclusion of our [exploratory data analysis](exploratoryDataAnalysis.ipynb), it is apparent that we could likely pick up on more indirect and interaction effects in our data if we consider using a decision tree. This gives us a strong graphical representation of the predictive effects presented by our data.\n",
    "\n",
    "We will start by using all variables except for our state and country variable and we will also include a variable for representing when work is in the USA. We will call this variable ```isUSA```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "initialMod.tree = tree(diagnosedWithMHD ~ age + roleType + factor(isUSA) \n",
    "                        + gender + companySize,data = mainFrame,\n",
    "                       split = \"deviance\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "run_control": {
     "marked": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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\nIECAAAECBAgQIECgQeD/APya7HlldRVfAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#then plot\n",
    "plot(initialMod.tree)\n",
    "text(initialMod.tree,pretty = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 4: Our initial decision tree._\n",
    "\n",
    "As expected, gender plays an essential role in informing the diagnosis rate. In particular, the effect suggests that those who identify as men are more likely to not have a mental health diagnosis than those who identify as other genders. We do see that whether or not the work is in the USA plays an essential role in dictating the $.5$ divide used to classify our observations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"The proportion accurate is 0.586\"\n"
     ]
    }
   ],
   "source": [
    "#check predictive accuracy\n",
    "mainFrame$predictions = ifelse(predict(initialMod.tree) > .5,1,0)\n",
    "correctFrame = mainFrame[which(\n",
    "                        mainFrame$diagnosedWithMHD == mainFrame$predictions),]\n",
    "propAccurate = dim(correctFrame)[1] / dim(mainFrame)[1]\n",
    "#then get percent\n",
    "print(paste(\"The proportion accurate is\",signif(propAccurate,sigLev)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that we are only getting about $58.6\\%$ of our predictions right. This is so far a pretty bad model, but nonetheless a model that we might have to work with. I'm under the impression that we will have a better time diagnosing our feature engineering woes if we study the parameters of a logistic regression model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Logistic Regression"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the same variables as before, but we will now make the roleType-gender interaction explicit and make the isUSA-gender interaction explicit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "initialMod.logr = glm(diagnosedWithMHD ~ age + factor(roleType)*factor(gender)\n",
    "                + factor(isUSA)*factor(gender) + factor(companySize),\n",
    "                      data = mainFrame,family = \"binomial\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Diagnostics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"The proportion accurate is 0.609\"\n"
     ]
    }
   ],
   "source": [
    "#check predictive accuracy\n",
    "mainFrame$predictions = predict(initialMod.logr,type = \"response\")\n",
    "mainFrame$predictions = ifelse(mainFrame$predictions > 0.5,1,0)\n",
    "correctFrame = mainFrame[which(\n",
    "                        mainFrame$diagnosedWithMHD == mainFrame$predictions),]\n",
    "propAccurate = dim(correctFrame)[1] / dim(mainFrame)[1]\n",
    "#then get percent\n",
    "print(paste(\"The proportion accurate is\",signif(propAccurate,sigLev)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are only doing slightly better with the logistic regression model. Let us see if we can figure out which events are hard to predict using a confusion matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th></th><th scope=col>Actual 0</th><th scope=col>Actual 1</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><th scope=row>Predict 0</th><td>463</td><td>306</td></tr>\n",
       "\t<tr><th scope=row>Predict 1</th><td>253</td><td>407</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       "  & Actual 0 & Actual 1\\\\\n",
       "\\hline\n",
       "\tPredict 0 & 463 & 306\\\\\n",
       "\tPredict 1 & 253 & 407\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "1. 463\n",
       "2. 253\n",
       "3. 306\n",
       "4. 407\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "          Actual 0 Actual 1\n",
       "Predict 0 463      306     \n",
       "Predict 1 253      407     "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "confusionMat = matrix(0,nrow = 2,ncol = 2)\n",
    "for (i in 1:2){\n",
    "    for (j in 1:2){\n",
    "        #get level associated\n",
    "        confusionMat[i,j] = length(which(mainFrame$predictions == i - 1 &\n",
    "                                         mainFrame$diagnosedWithMHD == j - 1))\n",
    "    }\n",
    "}\n",
    "#name columns\n",
    "rownames(confusionMat) = c(\"Predict 0\",\"Predict 1\")\n",
    "colnames(confusionMat) = c(\"Actual 0\",\"Actual 1\")\n",
    "confusionMat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Table 5: Our confusion matrix for our initial logistic regression._\n",
    "\n",
    "It looks like our false positive and false negative rate is about the same in both contexts. This suggests that what we aren't really dealing with is an imbalanced classes problem, but rather a fundamental set of errors in our model. Let us take a look at our residuals for this plot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"We have a brier score of 0.234\"\n"
     ]
    }
   ],
   "source": [
    "brierScore = mean(residuals(initialMod.logr,type = \"response\")^2)\n",
    "print(paste(\"We have a brier score of\",signif(brierScore,sigLev)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On average, our predictions are off the actual outcome by around $\\sqrt{.234} \\cdot 100\\% \\approx 48.4\\%$. This is not very ideal for predictive purposes, but we will nonetheless have to work with it for our difficult prediction problem."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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\n",
      "text/plain": [
       "Plot with title “Residuals on Age”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot residuals on age\n",
    "resids = residuals(initialMod.logr)\n",
    "plot(mainFrame$age,resids,xlab = \"Age\",ylab = \"Residuals\",\n",
    "     main = \"Residuals on Age\")\n",
    "abline(0,0,col = \"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 5: Response Residuals on Age._\n",
    "\n",
    "We see that we have a slight nonlinearity, as the tunnel moves down the older our ages get. That being said, this nonlinearity is so slight that I don't think it should be a priority for our analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA\nOI2NVV1oHFUUPrtzZyMkzlNsNIV0qD8NJQ2TVjShtLp/3d02bpZJNtoi6GT27s6Yyc44M7v9\noU9FUHwx6psUxL+3gCAo9Q/bPrQvlQol2tQgKD60+INQ6Ium65k7M5lpurHeZe58853vnnvu\nuWfvBei5qliWkRQBFpquLRcy4nOHj4g9K5CEh6AXBqFXUR0rXalMAjZPC3e1W99Dwntf2dXd\n/p+tt0YdFSBxH2Kz5qgLiI8B8KdVy3YBevqRHz/qWh72Yui3MUDEL3q44WPXw3M+fo1pZuQs\n4tOIBVVTaoiXEI/MxfhGDPsxsNZfoE1q66ro5aJim3XdoLFw72H+n23BaIXzbcOnz5mfPoTv\nYVz7KzUl5+FRxEuqkp9G/Ajia219thzg25abkRE/BpDc3pqvphHvRFys2weqvp+krbWKIX7n\nhDbzLOItiM8358pTwdirqpPFnMF2xLc1WvLyOwTAibpbmvHHcvttU57y5+XqNZrLe3lE/Pq8\neUj2fXKfOe3pfOjzhJYtB/yll5SDFcSDiH+hRkH25+L+sdxKEAMZahrlSX8ukqMOWy/jXW2m\n6M9LDBc31B9LFuv6gVKg/0Szi3KAr1kGq1GMjU/aLbnq6/lRxc4XfJ98hTargX++DbMJBSiY\nMIe9Ck1YAxFkKEAG3xbYaKmDDgYyFK0UGYpfoWYXG+fAPPI6tJnNwb7ClP7IyF+D+bjOtCpk\nhz6CFrIa/I6sFtNl8auFXGMTP34sNwI/JhkgEtmDz14ySfaRcTIBInmKPE32kxyyE2Tv+thK\nbEVePDfW/byMM1Kmm0XdObS7oGD/MypMXFPXrCwOtoYjyyn7BV29/MZfsVzpLDdRtuIZnbpX\nzvlf+ev8MvYr/Gqk4H/kV/G3csdazLuyTMPsbFhzd1UabQbjFvDRmcWJxR3zcfHkVw9GfpbJ\nmeev9F08WW8uDkaslwX6avlWGU6NRKz0g/SHtCy9J30o/ca9zX3Kfc19zn3BXQKRO8ud477h\nLnAfc1/G9mrzGlrfexZ5GLdn6ZZrrEohI2wVHhZywjbhUWEy8icMCGNCUdiBlq3r+xafL549\nHQ5jH+an+1y+LlYBifuxAvRN/lVVVOlwlCkdVm9NOL5BE4wkQ2SMlDZU97hX86EilU/lUmkQ\nUztTE6mx1EEPh7OmdqBtAvv8HdWpbrJS6tJj3n0CWdM6busNzRV3S9KTYhqvNiqWmuroiKgY\nhshMjmhTh9ptWhsF7970j/SbMrsPE1suR5z7DMC+P/Hs+y7ijrQAlhyAgccjbhjPygfeBTjz\nhNqy28EdkUh8C+DU9+z2v/oyeH791OncxHOs5y2AtTc7nb/f73TWPkD/qwBnjX8BoJ98VVBg\n/m8AAEAASURBVHgB7N0J2DRXWSfuLytb2FdBwr7IiASRNWhgEAQMwsgyisoa3HAZYRCEmQgB\nF0DgUkT/IjJBgigiokZBXNhBJCyygwpJhBAihB1CCMn/94Sumfo679bv+1Z3na77XNeT2k+d\nc5/mo563qqsPHFAIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAABAgQIECBAgAAB\nAgQ2Ejhko5XWESBAgMCGAjfM2qM23HLgwIVZ/5XEFxOfTlyUWHW5URpwuVkjPpVpxU7KpbLT\nzXo7fijz5/eWlzlb3uXelfd0MxOY7nb8NqPp1/f57HTGJjt+S9Zffbbtgkw/sMl+tfoqie9I\n/JdEff5PT3wk8YnETssVs+P1ejt/PPPn9pbNEiBAgAABAgQIjFTgH9KuSny2i89mnz9NXDWx\nyvKWnLxr61MXaEglR91xNe0nKAtUsy+73mOuLYftS61tVLLb8dusd/36XrnZTln/zEQ3/v+5\nyX63yfpKhLr9+tNvZP0piUrIdlJ+Kzv1j3/RTg6yDwECBIYSOHSoitVLgACBCQtcKX1/QOKf\nE/WXdYXAOgn8UDrzxsRNNulUXVv8SKI+/0dvsk+3+tKZ+dFuYTZ9YKZXnltnkQABAksTOHxp\nZ3IiAgQIrJfAZ9Kdd8y6VI8r10XhkYnvSlwmUaXuvPxG4l61sIJyVs750dl5666W0pbAGMfv\niBD+f4nuM16P1VWy9IbE9RPfm7hBoko9fvfixHG1sEn5wayfT4aq7h9L1J0lhQABAgQIECBA\nYMQC/Ufs/naTdtb3N96W6B4ZqgvI+it5S8Ujdi2N1s7buh+P2N0tp+s+2/W9tC4Z6lpRfyx4\nd2+f2nerR03/sbdvPZrX1f2+zCsECBBYiYA7SCthd1ICBNZY4JPp2/MTt5v1sf4afttE/ZW9\nX26ahe9P3DpRL3j4l8RrE3VxuVm5czbcM1GPLdVjfOck6g7RSxJnJOZLPQp17dnKf8q0LpD7\n5cgsPDhRd73qIrYeifrTxFblYdlYdwaqvC7xzprplfrLf/cF/+rz23vbavawxH0Sd0lU2yp5\nrLtb7028LHFmYpFy+ez80EQldddNnJc4O/G6xKmJesnAouXQHHD3xL0SZV3te0/i9YmNxueG\nWX+/RJWPJ6of10vU8ccmKkk+LfHiRLVvp2W78Vv087DT82613616G6svn+st12wlOCcm6s7p\nl2dRFnXHdb7cKCvu0lv5tMzXsVXq0dSye3MtKAQIECBAgAABAuMU2MkdpGr5/0jUhWIXdbHX\nL4/OwlcT3fZuWn9BPylRSUS/1GNNf5Ho9puf1nH37x8wm6+EqNv3qXPbb5LlSm667d3001n3\ns3PrKwHoyocy0+37C93K3rQSvW77E3rra/Zqif72br9uWm8u+57asVfukflue037NvfOcl14\n97f35ys5K7tFyhWycyWT/Xq6+XJ+TqKS3n45PgvdPpVE3T3x+d66blslWddN7LRsNn778Xl4\n5RaNeGa2dW3+z7n97tbbVvtUUl3J4WUTi5ZfyQHdeT6a+RrbM3vr/jDzCgECBAgQIECAwIgF\n/iFt6y7oNnrEri7w6gK/f5FXdzOOTHTlUZnp6qjp+YlKSvrr6q/v/fL0LHTbv5b50xJ/negf\nV/P1eF+/bHaBXe18f6Krs6Z1IVx3ofrruvn9SpBeNVd/OX0kcWFv/ZcyX3eVurJZgnSt7FB3\nL7o2fiLzZVJJXyUy3fpfzfxOy1HZsW9WdfTr6ur8x6w/pFfp8ZnvtlWS9/XZcnnWeHXbavr8\nxE5Lvy1P7R20H5+H3SZIlRz2k+Sub+dlff1v4jGJWyS2K/UZrDHrjj9pdkCNV7eu/ohw5dl6\nEwIECBAgQIAAgREK9BOkuvA9ZxaVXNQdg+7CuLvAq+mPJLpyxczUMd32F2X+OolLJU7ora9H\nsvrJTiUR3THHZr4rh2bmjYm6OD0t8bBEv2x2gT2fpD22d9A9M1+PRnXnq+mNetv7F8e/0Fvf\nzf5LZrpjn9CtzPS6iS/MtlVC9H2Jrtw3M90xNb1DtyHTe8xtqwvrKg9OdMf83cVr/t9/qu7a\nVo+7/WWi7grtpNQjeV2dX8z8wxKVNF098WuJfiL3k1nuSj9BquM/mbjlbGOdux4f7OqtpGCn\nZbPx24/Pw24TpGp79a2fnHZ960//OfvcrXbepMyb3XS2380y7dfz85scbzUBAgQIECBAgMAI\nBPoJUv8ibqP5unP03+ba/Mgsd/vWnYlrzW1/e2979xf12qXutHTHvTbzP5i4UqLK5RKHXzx3\nyf9sdoHdv5NTd0PmSz1G1p2vpjfq7bDbBKmqqLsuVdd310KvXCrz/aTs3r1tmyVIj8g+XRsr\nmTkx8R2J7s5OJaOLlLpA7+qraT8B6ur5o94+Z3UrM52/2J8f935bz+8dt93sW7JD16an9nbe\nj8/DXhKkakp9dl+YqDt+XRvnp9XXH0psVOr83f7/NLdDLXfb3j+3zSIBAgQGFzh08DM4AQEC\nBNZToC4MP5yoi/N+qTtLlcBcO/Hn/Q2Zr4vwrpyeme9MVDLQRd0Z6MqNu5lMKzHryl0y82eJ\n+u5NJVSPS3R3KzK7o3LD3l6v6c13s3/bzexi2iUoGx1aF73/nqgL4Dsk6g7UHyfqrsplE12p\nhGm78vrs0L2Aoe7yPCVRd6/OSVQi8/2Jnd45yq4H7lL/mZVKXuvif778fm9F3eGrO0sblTfN\nraw7Sl05IjP9vnbrF5nu9vPQedW5tvr///62/jH9Np6dhUckyqA+7y9IfDTRL9XXlySO6a/M\nfCVXNT5deXE3M5u+qLd8i8zfubdslgABAgQIECBAYEQCdWHa/WW7n0TcJevrjkK37VOZr3Xz\n5RVZ0e2z3bQSgK7Uhf47ElsdU4+HVVLWL5vdgagkrqvrof0DZvN1J6bbXtPN7iA9doNjP9g7\n9pfmtlciUxfSlVT265+fv2/vuHvM7XtYb9tDM18X8PPHd8v/mW11Eb+TclJ26o47Y5MDrtfb\np/Y9brbf/B2kSgz65a5Z6Oqu6U4TpM3Gb7efh0qGu3bUXcTNym9lQ7ff6ZvttMn6m2f9yxLd\n8TX9xbl9Hz+3/QNZPq0Xddeof/wfZlkhQIDA0gQOXdqZnIgAAQLrK/C6dK0u6r8+6+I1Mv3r\nxPydnfNn22tyTqK+O7NZ/FvtNCtfyPR2ifsnqt66ezVf6i/yfzS/cpPlz/bW18X2fLnc/IpN\nlucTgdqtf/enLnK7UueppO+RiUqUqg+vSPxsopwqmenKhd3MNtMXZXslb7+e+NAG+14t6yoh\nqwRlu/K53g6X7833Z6/YX8j8p+eWa7H63H0Ous077U+3/3bT3X4e+p+b+b70z9n/THylt+HS\nma/P2GsT5f3DiflS6x+UeFdvw1168zVbn4F++bYs3KYXddeoXx6YhSv3V5gnQIAAAQIECBAY\nh8Bmd5C61j0xM/2/fL83y0d2GzP91d72T2R+0T9SdfvXd47ulHhy4mOJ/jmvmuWuvCUz3ban\ndiszfXNv/e/01nezdQHbHVfTSkK68p7MdNv6ddb2QxJf7m1/Qq2clbqY7o6ri+6juw2zaf+u\n1r172+6R+e64mh7W29bNdi7XzoofSfxZon9n6bndjltMfzDb+ufp97k77BG9faq9XYLYv4NU\nj+fNl+Oyol/3Zed32GR5s/Hrdu/6vdPPw7N77aj2V2IyX6pPH0507X3N3A4f2GJbf9fX9fZ7\nY2/DvEV3nu2mP9+rwywBAgQGFej+cR30JConQIDARASenn7+U6+v3575J/WWKzHpSl3M18Vi\nV+rCvy6I6/g/SHRJwq0y/xeJ+st8JRb1l/a6+K99n5x4cKJfjuwvbDL/zt76/5756/eW6y5B\nfTdos/KR3oZb9+Zr9kGJ/sV/JUxdObabybSSrDN7y3fIfL/ddcG/XXlqdijPuovz57Odz8r0\nJYn7JyqZ7Upd9G9X/jY7VHLXlWdlpn/c1bP8v7qNmf59Yv5OUW/zYLN7+Ty8tdeq8v79RD8R\nrDtnJyVumujKm7qZ2bSfMN09634tUZ/lrtSY/2Si/9nuf94e2e2Y6bmJ6ybq+I3i9Kzvyo93\nM6YECBAgQIAAAQLjEaiL7u4v3XVBvVG5eVZ+NdHt1/9LfV089u/AnJHlH0vcLfGHie6Ymn5P\nokolHJUEdNvel/mHJ+qv//Xo0d8lum31l/9+eUsWum2VUHTlOpmpZKvbVu14YuKnEu/ore+2\n9y+iq55ufU2fk6g7KHWhXI9w9bf9Upa7UvP9bf8jyzdInJA4PdHf9uAsd+UemelvO2y24Rfn\n1ldCU2a3SzwuUe7dcT+c+Z2USgy7Y2paFpUUVd8+nui2VT+vn+hK9b/b9o1uZW96XG977ddP\nInu7XWJ2o/Hby+eh/ij6gUTX1m76r1lXidD5c9u+mOWrJPqlPjv1OGR3bE3rEcK3JipRrbr6\n287L8k0SVa6U6H/ufufitZv/55ezqV/XnTff1RYCBAgQIECAAIFVCOwkQap2PTbRv7B7Q5YP\nqQ0p9UavMxP97fPzlXT0yz2zUBea8/v1lyshqDsx/bLRBXa3fT4Z6Nf18uxU38np1vUTpErM\n6i//3bb+tC6O68v/3bpKirpSj9T16+z2qWklFZ9IdOt+JfNd2SxBqjtdr050x2w2fWX26ey7\nOrea/kw21gX/ZvVVclR33fplmQlSnXe3n4c69raJ7T5/1fdK8h+R2Kh8X1Zu93msOj6ZuH2v\ngp/OfN/1jr1tG83WZ6Y+G90xL95oJ+sIECBAgAABAgRWJ7DTBOnQNPHNie7CrqaP7DW7Hteq\nv7bPJwynZ11dRG5U6sL2LxL9C8au/lOz/pgNDtoqQard75eoi9iuns9n/hmJan//LsENs9wv\nlYh9MNEd9+XMV9uqX8/rrX9C5vvl2CzM38F4X9bdKfHwRFffv2W+K5slSLX9Uok6R//uTlfH\nOVn/mEQlUouWB+WAv0n0x6cSglcn5i2y6qDfQarxmS/HZUXXrppedn6HTZa3Gr/dfB6609Rd\noVMSNW79dtV89bkeH7xFYqtSycsLE+XSr6OSy9MTr0h8a6Jf+ncnK5neSXlNdurqr6Rt/o7W\nTuqwDwECBBYSWOSvagtVbGcCBAgQ2JHADbJXXUjWRf6ZiY0usLP6/5ajMlcXp9dInJ04I1EX\njnsp1YYrJd6T2O78/fNcMwvVlncnvt7fsMV8JV/XS1wn8aHEpxN7LVXntySuO6vo9Ew/lagL\n672UqveWiQsSH55NMxlV2cvn4cj05KaJKyeqrx9JVMK8SKnjaizrM1TJUiXAdZdNIUCAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAEC\nBAgQIECAAAECBAgQIECgeYFDmu/B+nTgu9KVI9anO3pCgAABAgQIECAwIYHz09d3rEN/JUjj\nGMVKjt4+jqZoBQECBAgQIECAAIFdCdQ1bfNJ0uG76rqD9lugu3N0+VRc2bdCgAABAgQIECBA\noBWBI9PQLyZq2nyRII1rCCs5kiCNa0y0hgABAgQIECBAYEICh06or7pKgAABAgQIECBAgACB\nLQUkSFvy2EiAAAECBAgQIECAwJQEJEhTGm19JUCAAAECBAgQIEBgSwEJ0pY8NhIgQIAAAQIE\nCBAgMCUBCdKURltfCRAgQIAAAQIECBDYUkCCtCWPjQQIECBAgAABAgQITElAgjSl0dZXAgQI\nECBAgAABAgS2FJAgbcljIwECBAgQIECAAAECUxKQIE1ptPWVAAECBAgQIECAAIEtBSRIW/LY\nSIAAAQIECBAgQIDAlAQkSFMabX0lQIAAAQIECBAgQGBLAQnSljw2EiBAgAABAgQIECAwJQEJ\n0pRGW18JECBAgAABAgQIENhSQIK0JY+NBAgQIECAAAECBAhMSUCCNKXR1lcCBAgQIECAAAEC\nBLYUkCBtyWMjAQIECBAgQIAAAQJTEpAgTWm09ZUAAQIECBAgQIAAgS0FJEhb8thIgAABAgQI\nECBAgMCUBCRIUxptfSVAgAABAgQIECBAYEuBw7fcaiMBAvspcO1Udsx+VthYXVeZtffcxtq9\nn819dyo7az8rVBcBAgQIECCwvwISpP31VBuBrQROyMbHb7XDmm87cta/89e8n1t17+nZeNJW\nO9hGgAABAgQIECBw4MAdg3BRoruAZEJgHQVOTqcqFAIECBAgQGC9BOoatq5l65q2+eI7SM0P\noQ4QIECAAAECBAgQILBfAhKk/ZJUDwECBAgQIECAAAECzQtIkJofQh0gQIAAAQIECBAgQGC/\nBCRI+yWpHgIECBAgQIAAAQIEmheQIDU/hDpAgAABAgQIECBAgMB+CXjN935JqocAge0EXr7d\nDrYTIECAAAECBFYtIEFa9Qg4P4HpCJw6na7qKQECBAgQINCqgEfsWh057SZAgAABAgQIECBA\nYN8FJEj7TqpCAgQIECBAgAABAgRaFZAgtTpy2k2AAAECBAgQIECAwL4LSJD2nVSFBAgQIECA\nAAECBAi0KiBBanXktJtAewInpclPaa/ZWkyAAAECBAhMScBb7KY02vpKYLUCR6/29M5OgAAB\nAgQIENhewB2k7Y3sQYAAAQIECBAgQIDARAQkSBMZaN0kQIAAAQIECBAgQGB7AQnS9kb2IECA\nAAECBAgQIEBgIgISpIkMtG4SIECAAAECBAgQILC9gARpeyN7ECBAgAABAgQIECAwEQFvsZvI\nQOsmgREInJk2XDSCdmgCAQIECBAgQGBTAQnSpjQ2ECCwzwIn7nN9qiNAgAABAgQI7LuAR+z2\nnVSFBAgQIECAAAECBAi0KiBBanXktJsAAQIECBAgQIAAgX0XkCDtO6kKCRAgQIAAAQIECBBo\nVUCC1OrIaTcBAgQIECBAgAABAvsuIEHad1IVEiCwicDxWV+hECBAgAABAgRGK+AtdqMdGg0j\nsHYCD5j16NS165kOESBAgAABAmsj4A7S2gyljhAgQIAAAQIECBAgsFcBCdJeBR1PgAABAgQI\nECBAgMDaCEiQ1mYodYQAAQIECBAgQIAAgb0KSJD2Kuh4AgQIECBAgAABAgTWRkCCtDZDqSME\nCBAgQIAAAQIECOxVwFvs9iroeAIEdipwwU53tB8BAgQIECBAYFUCEqRVyTsvgekJnDi9Lusx\nAQIECBAg0JqABKm1EdNeAu0KnNVu07WcAAECBAgQmIqA7yBNZaT1kwABAgQIECBAgACBbQXc\nQdqWyA4ECBAgQIDAHgVunuPvvMc6Wj78WrPGn91yJ/bY9jfl+A/tsQ6HE1iKgARpKcxOQoAA\nAQIEJi1wz/T+0RMWuMas7+dM2OCo9F2CNOEPgK4TWFTgjjngosSRix5ofwINCVw7ba1QCBAg\nMDWBk9PhCoXAugrUNWxdy9Y1bfPFHaTmh1AHCDQjcNKspSc002INJUCAAAECBCYnIEGa3JDr\nMIGVCfj3ZmX0TkyAAAECBAjsVMBb7HYqZT8CBAgQIECAAAECBNZeQIK09kOsgwQIECBAgAAB\nAgQI7FTAIy87lbIfAQIECBAgQGB3AvXldYUAgUYEJEiNDNSaNPN26cfd16QvurG4wC1nhzxp\n8UMdsSYCf5d+/POa9EU3CCwi8AeL7GxfAgRWKyBBWq3/1M7+U+nwvRP/OrWO6+/FApefOdyL\nxyQFbpJe3zghQZrk8E++02+avAAAAg0JSJAaGqw1aOoh6cOrEg9bg77oAgECiwmcnN3r3wCF\nAAECBAiMWsBLGkY9PBpHgAABAgQIECBAgMAyBSRIy9R2LgIECBAgQIAAAQIERi0gQRr18Ggc\nAQIECBAgsAYCdb3lmmsNBlIXpiHgO0jTGGe9JECAAAECBFYn8KzZqX9hdU1wZgIEdiogQdqp\nlP0IECBAgAABArsTuPLuDnMUAQKrEHC7dxXqzkmAAAECBAgQIECAwCgFJEijHBaNIkCAAAEC\nBAgQIEBgFQISpFWoOycBAgQIECBAgAABAqMUkCCNclg0igABAgQIECBAgACBVQhIkFah7pwE\nCBAgQIAAAQIECIxSwFvsRjksGkWAAAECBAiskcC/rFFfdIXA2gtIkNZ+iHWQAAECBAgQWLHA\nc1Z8fqcnQGABAY/YLYBlVwIECBAgQIAAAQIE1ltAgrTe46t3BAgQIECAAAECBAgsICBBWgDL\nrgQIECBAgAABAgQIrLeABGm9x1fvCBAgQIAAAQIECBBYQECCtACWXQkQIECAAAECuxD40RxT\noRAg0ICABKmBQdJEAgQIECBAoGmB703rKxQCBBoQkCA1MEiaSIAAAQIECBAgQIDAcgQkSMtx\ndhYCBAgQIECAAAECBBoQkCA1MEiaSIAAAQIECBAgQIDAcgQkSMtxdhYCBAgQIECAAAECBBoQ\nkCA1MEiaSIAAAQIECBAgQIDAcgQOX85pnIUAAQIECBAgMFmBr6XnF0229zpOoDEBCVJjA6a5\nBAgQIECAQHMCj2uuxRpMYMICEqQJD76uEyBAgAABAksR+MJSzuIkBAjsi4DvIO0Lo0oIECBA\ngAABAgQIEFgHAXeQ1mEU9YEAAQIEWhDwR8kWRkkbCQwjcOEw1ap1CAEJ0hCq6iRAgAABAgcL\nPCOLvodysIklAlMSqH8DHj+lDrfcVwlSy6On7QQIECDQisA10tBXJ361lQZrJwEC+ybwxNR0\nzX2rTUWDC0iQBid2AgIECBAgcLHAp/LfN7IgQGByAvW/faUhAc9DNzRYmkqAAAECBAgQIECA\nwLACEqRhfdVOgAABAgQIECBAgEBDAhKkhgZLUwkQIECAAAECBAgQGFZAgjSsr9oJECBAgAAB\nAgQIEGhIQILU0GBpKgECBAgQIECAAAECwwpIkIb1VTsBAgQIECBAgAABAg0JSJAaGixNJUCA\nAAECBAgQIEBgWAEJ0rC+aidAgAABAgQIECBAoCEBCVJDg6WpBAgQIECAAAECBAgMKyBBGtZX\n7QQIECBAgAABAgQINCQgQWposDSVAAECBAgQIECAAIFhBSRIw/qqnQABAgQIECBAgACBhgQk\nSA0NlqYSIECAAAECBAgQIDCsgARpWF+1EyBAgAABAgQIECDQkMDhDbV1N019VA66wi4OfEuO\neesujnMIAQIECBAgQIAAAQINC6x7gvTTGZtjdjE+T84xe0mQKil7YuKIxE7K0TvZyT4ECBAg\nQIAAAQIECAwrsO4J0r3C94rEHRN/kXhhYiflwzvZaYt9Lp1tN04cucU+/U1dglQJ1fn9DeYJ\nECBAgAABAgQIEFiewLonSGeH8q6J1ycqWXpK4l2Jocs5OcEDFjhJPQr4/AX2tysBAgQIECBA\ngAABAgMITOElDV+L2yNnds8dwFCVBAgQIECAAAECBAisicAUEqQaqvcn6jtB9d2gWyYUAgQI\nECBAgAABAgQIXEJgKglSdfxZie9IvLcWFAIECBAgQIAAAQIECMwLTClBmu+7ZQIECBAgQIAA\nAQIECBwkIEE6iMMCAQIECBAgQIAAAQJTFpAgTXn09Z0AAQIECBAgQIAAgYMEJEgHcVggQIAA\nAQIECBAgQGDKAhKkKY++vhMgQIAAAQIECBAgcJCABOkgDgsECBAgQIAAAQIECExZQII05dHX\ndwIECBAgQIAAAQIEDhKQIB3EYYEAAQIECBAgQIAAgSkLSJCmPPr6ToAAAQIECBAgQIDAQQIS\npIM4LBAgQIAAAQIECBAgMGUBCdKUR1/fCRAgQIAAAQIECBA4SECCdBCHBQIECBAgQIAAAQIE\npiwgQZry6Os7AQIECBAgQIAAAQIHCUiQDuKwQIAAAQIECBAgQIDAlAUkSFMefX0nQIAAAQIE\nCBAgQOAgAQnSQRwWCBAgQIAAAQIECBCYsoAEacqjr+8ECBAgQIAAAQIECBwkIEE6iMMCAQIE\nCBAgQIAAAQJTFpAgTXn09Z0AAQIECBAgQIAAgYMEJEgHcVggQIAAAQIECBAgQGDKAhKkKY++\nvhMgQIAAAQIECBAgcJDA4QctWSBAgAABAgSGErhZKn70UJWrlwCB0QrU//Y/PNrWadglBCRI\nlyCxggABAgQIDCJwh9RaoRAgMD0BCVJDY+4Ru4YGS1MJECBAgAABAgQIEBhWQII0rK/aCRAg\nQIAAAQIECBBoSMAjdg0NlqYSIECAQNMCr0vrn9d0DzSeAIHdCPju4W7UVniMBGmF+E5NgAAB\nApMSOCO9ffmkeqyzBAiUwPEY2hLwiF1b46W1BAgQIECAAAECBAgMKCBBGhBX1QQIECBAgAAB\nAgQItCUgQWprvLSWAAECBAgQIECAAIEBBSRIA+KqmgABAgQIECBAgACBtgQkSG2Nl9YSIECA\nAAECBAgQIDCggARpQFxVEyBAgAABAgQIECDQloAEqa3x0loCBAgQIECAAAECBAYUkCANiKtq\nAgQIECBAgAABAgTaEpAgtTVeWkuAAAECBAgQIECAwIACEqQBcVVNgAABAgQIECBAgEBbAhKk\ntsZLawkQIECAAAECBAgQGFBAgjQgrqoJECBAgAABAgQIEGhLQILU1nhpLQECBAgQIECAAAEC\nAwpIkAbEVTUBAgQIECBAgAABAm0JSJDaGi+tJUCAAAECBAgQIEBgQAEJ0oC4qiZAgAABAgQI\nECBAoC0BCVJb46W1BAgQIECAAAECBAgMKCBBGhBX1QQIECBAgAABAgQItCUgQWprvLSWAAEC\nBAgQIECAAIEBBSRIA+KqmgABAgQIECBAgACBtgQkSG2Nl9YSIECAAAECBAgQIDCggARpQFxV\nEyBAgAABAgQIECDQloAEqa3x0loCBAgQIECAAAECBAYUkCANiKtqAgQIECBAgAABAgTaEpAg\ntTVeWkuAAAECBAgQIECAwIACEqQBcVVNgAABAgQIECBAgEBbAhKktsZLawkQIECAAAECBAgQ\nGFBAgjQgrqoJECBAgAABAgQIEGhLQILU1nhpLQECBAgQIECAAAECAwpIkAbEVTUBAgQIECBA\ngAABAm0JSJDaGi+tJUCAAAECBAgQIEBgQAEJ0oC4qiZAgAABAgQIECBAoC0BCVJb46W1BAgQ\nIECAAAECBAgMKCBBGhBX1QQIECBAgAABAgQItCUgQWprvLSWAAECBAgQIECAAIEBBSRIA+Kq\nmgABAgQIECBAgACBtgQkSG2Nl9YSIECAAAECBAgQIDCggARpQFxVEyBAgAABAgQIECDQloAE\nqa3x0loCBAgQIECAAAECBAYUkCANiKtqAgQIECBAgAABAgTaEpAgtTVeWkuAAAECBAgQIECA\nwIACEqQBcVVNgAABAgQIECBAgEBbAhKktsZLawkQIECAAAECBAgQGFBAgjQgrqoJECBAgAAB\nAgQIEGhLQILU1nhpLQECBAgQIECAAAECAwpIkAbEVTUBAgQIECBAgAABAm0JSJDaGi+tJUCA\nAAECBAgQIEBgQAEJ0oC4qiZAgAABAgQIECBAoC0BCVJb46W1BAgQIECAAAECBAgMKCBBGhBX\n1QQIECBAgAABAgQItCUgQWprvLSWAAECBAgQIECAAIEBBSRIA+KqmgABAgQIECBAgACBtgQk\nSG2Nl9YSIECAAAECBAgQIDCggARpQFxVEyBAgAABAgQIECDQloAEqa3x0loCBAgQIECAAAEC\nBAYUkCANiKtqAgQIECBAgAABAgTaEpAgtTVeWkuAAAECBAgQIECAwIACEqQBcVVNgAABAgQI\nECBAgEBbAhKktsZLawkQIECAAAECBAgQGFBAgjQgrqoJECBAgAABAgQIEGhLQILU1nhpLQEC\nBAgQIECAAAECAwpIkAbEVTUBAgQIECBAgAABAm0JSJDaGi+tJUCAAAECBAgQIEBgQAEJ0oC4\nqiZAgAABAgQIECBAoC0BCVJb46W1BAgQIECAAAECBAgMKCBBGhBX1QQIECBAgAABAgQItCUg\nQWprvLSWAAECBAgQIECAAIEBBSRIA+KqmgABAgQIECBAgACBtgQkSG2Nl9YSIECAAAECBAgQ\nIDCggARpQFxVEyBAgAABAgQIECDQloAEqa3x0loCBAgQIECAAAECBAYUkCANiKtqAgQIECBA\ngAABAgTaEpAgtTVeWkuAAAECBAgQIECAwIACEqQBcVVNgAABAgQIECBAgEBbAhKktsZLawkQ\nIECAAAECBAgQGFBAgjQgrqoJECBAgAABAgQIEGhLQILU1nhpLQECBAgQIECAAAECAwpIkAbE\nVTUBAgQIECBAgAABAm0JSJDaGi+tJUCAAAECBAgQIEBgQAEJ0oC4qiZAgAABAgQIECBAoC0B\nCVJb46W1BAgQIECAAAECBAgMKCBBGhBX1QQIECBAgAABAgQItCUgQWprvLSWAAECBAgQIECA\nAIEBBSRIA+KqmgABAgQIECBAgACBtgQkSG2Nl9YSIECAAAECBAgQIDCggARpQFxVEyBAgAAB\nAgQIECDQloAEqa3x0loCBAgQIECAAAECBAYUkCANiKtqAgQIECBAgAABAgTaEpAgtTVeWkuA\nAAECBAgQIECAwIACEqQBcVVNgAABAgQIECBAgEBbAhKktsZLawkQIECAAAECBAgQGFBAgjQg\nrqoJECBAgAABAgQIEGhLQILU1nhpLQECBAgQIECAAAECAwpIkAbEVTUBAgQIECBAgAABAm0J\nSJDaGi+tJUCAAAECBAgQIEBgQAEJ0oC4qiZAgAABAgQIECBAoC0BCVJb46W1BAgQIECAAAEC\nBAgMKCBBGhBX1QQIECBAgAABAgQItCUgQWprvLSWAAECBAgQIECAAIEBBSRIA+KqmgABAgQI\nECBAgACBtgQkSG2Nl9YSIECAAAECBAgQIDCggARpQFxVEyBAgAABAgQIECDQloAEqa3x0loC\nBAgQIECAAAECBAYUkCANiKtqAgQIECBAgAABAgTaEpAgtTVeWkuAAAECBAgQIECAwIACEqQB\ncVVNgAABAgQIECBAgEBbAhKktsZLawkQIECAAAECBAgQGFBAgjQgrqoJECBAgAABAgQIEGhL\nQILU1nhpLQECBAgQIECAAAECAwpIkAbEVTUBAgQIECBAgAABAm0JSJDaGi+tJUCAAAECBAgQ\nIEBgQAEJ0oC4qiZAgAABAgQIECBAoC0BCVJb46W1BAgQIECAAAECBAgMKCBBGhBX1QQIECBA\ngAABAgQItCVweFvN3ZfWXjm1XDFxqcSXEp9LfDmhECBAgAABAgQIECAwcYGp3EG6dcb5BYlz\nEucmPpb4UOLjiUqS/j3xe4mrJxQCBAgQIECAAAECBCYqMIU7SCdmbJ8yG98zM31ropKkSozq\nTtJVEkcnfjxx/8TPJf4ooRAgQIAAAQIECBAgMDGB/UqQqp4bJT6SuGhEhg9MWyo5enXiSYl3\nJjYqh2TldyeelXhJ4vTEWxIKAQIECBAgQIAAAQITEthNglR3We6R+ImZ030yPSVxhcQnE49M\nvCoxhnK/NOKjiZp+bYsGVVL3hkT164zEQxJ7SZDqzlQlZkckdlK+7QEHDj3wfw4c8exLHThw\nwU4OaHGfvzpw4e2r3fc5cOjzWmy/NhMgsHuBqf/vf+r93/0nx5EE2heYwv/+v3HgwKE/duDr\nB15+4ML2Byw9WDRBqkTj5YnzEj+ZqKToxYnLJ16TuEPipYnbJOp7Pasu35EGvDWxVXLUb+Nn\ns/CexHX6K3cxX4nR1RJH7vDYyx+VHQ87cNHVcisrn7H1LHmW8dLVs0MOXOS7Xus5xHpFYFOB\nqf/vf+r93/SDYQOBCQhM4X//uX49tK5lp1relY7XHZlKPKrUnZa6+/KMWki5YaKWH1sLIyiV\ntH0wsdM7OfWGuy8knplYZnlUTlZul1vmSVdwrpNzzgqFAIHpCZycLldMtZycjlcoBAhMT+Dk\ndLlinUvdFKhr2TuuQycXeYtd7XvzRN0hes+s8/eeTf9sNq3kqRKS75wtr3ryojSg2lztu/jx\nrk0alMT34u8g1XeVLpt45Sb7WU2AAAECBAgQIECAwBoLLPKIXT1GV49InT3zOCzT+s7OuYm3\nz9bVpPbZ6aNlvcMGmf2j1HqNxNMS90l8IvHxxGcSdaeoHhG8SuJ6iW9J1Pd/6u7XmxMKAQIE\nCBAgQIAAAQITE1jkDtLnY1PJUL3trcrdE/VIWt116b6RVb83dINE3UkaQ6lbfc9J3DLxx4m6\nU1R3kurO1w/NpvW44JcTz0rUI4K/mVAIECBAgAABAgQIEJigwCJ3kIrnlMTPJV6X+PZEJSDP\nT1T534knJCpZOjkxplIJ2w/PGlR3jeotc3Wn65xEJX4KAQIECBAgQIAAAQIEFn6L3eNjVneN\n6veFvpj42cTrE1WOS9Qdmocm6ntIYy31aF2FQoAAAQIECBAgQIAAgYMEFr2DdF6OfkjihMTX\nE3UHqSuPyczHEpU4KQQIECBAgAABAgQIEGhOYLsEKb9bml8w3bjUSxr65V9nC5fJtJKntf3B\n036nzRMgQIAAAQIECBAgsD4CmyU/XQ/flpmv7CKe1FVgSoAAAQIECBAgQIAAgVYEtruD9JZ0\npHut9yJ9+vdFdrYvAQIECBAgQIAAAQIExiCwXYL002NopDYQIECAAAECBAgQIEBgGQLbPWK3\nmzbUd5OuuZsDHUOAAAECBAgQIECAAIFVCmx3B2mjtt0vK++fqN8SOmK2Q73eu+qqFzTcOPG7\niScnFAIECBAgQIAAAQIECDQjsGiC9PD07IXb9K7eZvfubfaxmQABAgQIECBAgAABAqMTWPQR\nu19MD+pHVuu3kK6T+FLilxI3Szw48dnE3ydemVAIECBAgAABAgQIECDQlMAiCVJ9t+hGiVcn\nXpw4K1GvAb9T4iOJlybulviJxG0TCgECBAgQIECAAAECBJoSWCRBOio9q+8cvaHXww9l/la9\n5XdlvpKl+/bWmSVAgAABAgQIECBAgEATAoskSJ9Pjz6duHmvZ5UgHZ3ov7XuzCzforePWQIE\nCBAgQIAAAQIECDQhsEiCVB2qly/UW+xuXwsp7/3m5OJ1NXv5xHcn6ntKCgECBAgQIECAAAEC\nBJoSWDRBelx6V3eL3po4NvHGxEcTv5moFzP8e6Je9f2PCYUAAQIECBAgQIAAAQJNCSyaINUd\npHsmXpP4z8SFiQcmzk3U946unnhJ4pSEQoAAAQIECBAgQIAAgaYEFv0dpOpc3R3q3yF6Z5av\nm6iXNXwu8dGEQoAAAQIECBAgQIAAgeYEdpMgbdTJb2RlJUoKAQIECBAgQIAAAQIEmhVYNEH6\nvfS0/8a6zTr+x9lQoRAgQIAAAQIECBAgQKAZgUUTpLunZzfYpncfz/bXb7OPzQQIECBAgAAB\nAgQIEBidwKIJ0q3Tg/kXO9Tytya+PfGcRN05qqlCgAABAgQIECBAgACBpgQWTZDqx2I3Kp/J\nyn9JvD/xrkS9/vsvEwoBAgQIECBAgAABAgSaEZi/G7TXhtdrwM9I1KN4CgECBAgQIECAAAEC\nBJoS2O8E6VLp/VUT12hKQWMJECBAgAABAgQIECAQgUUfsbt0jjlkA7mqp34k9mmJoxKnJRQC\nBAgQIECAAAECBAg0JbBogvSB9G67t9jVD8U+vykFjSVAgAABAgQIECBAgEAEFk2Q3pBjPrKB\n3IVZ94XEexIvSGz2ModsUggQIECAAAECBAgQIDBOgUUTpIeNsxtaRYAAAQIECBAgQIAAgb0L\n7PdLGvbeIjUQIECAAAECBAgQIEBgRQLb3UF6Vtp1/V207U9yzMt2cZxDCBAgQIAAAQIECBAg\nsDKB7RKku6Vlt9qmdV/K9npzXVe+mhlvses0TAkQIECAAAECBAgQaEZgu0fsvic9uUovbpv5\negHDqYk7JC6TuPwsfiDTDyf+LvHMhEKAAAECBAgQIECAAIGmBLa7g1RvpuuXZ2Th3Yn7Jb7R\n21B3kf4qUW+x+2DiUYnfTSgECBAgQIAAAQIECBBoRmC7O0j9jlwqC3dK/Gminxz19zkjC5VA\n3bm/0jwBAgQIECBAgAABAgRaEFgkQbogHfpy4tpbdOywbLt+4hNb7GMTAQIECBAgQIAAAQIE\nRimwSIJUd43+NvFziTtu0Ju6w/TbiW9J1ON2CgECBAgQIECAAAECBJoS2O47SPOdqe8gHZd4\nS+K1iQ8k6ntK10nUG+9q+vzEmxMKAQIECBAgQIAAAQIEmhJYNEGq7xfdJvF/EndJ3DXRlfr+\n0f9I/Ga3wpQAAQIECBAgQIAAAQItCSyaIFXfzk7cK1HfN7pZ4lqJenvdpxMKAQIECBAgQIAA\nAQIEmhXYTYLUdba+k1SP2FUoBAgQIECAAAECBAgQaF5guwTpyunhEYlzE/UWu6sm6s7RdqXe\ndlehECBAgAABAgQIECBAoBmB7d5iVy9i+FTimFmP3j5brnVbxf+c7W9CgAABAgQIECBAgACB\nZgS2u4P09+nJvyY+O+vRqzK9xmx+q4nH7rbSsY0AAQIECBAgQIAAgVEKbJcgzd8JevQoe6FR\nBAgQIECAAAECBAgQ2AeB7R6x2+kpKtGqN9odstMD7EeAAAECBAgQIECAAIGxCewmQbp/OvF7\nvY7cJ/OfSXwo8YlEvQJcIUCAAAECBAgQIECAQHMCiyZI90sPX554SKLuFl0x8eLE5ROvSVwu\n8dLEjRIKAQIECBAgQIAAAQIEmhJYNEH65fTuY4nbJy5K3DdRSdJvJL4vcevZciVSCgECBAgQ\nIECAAAECBJoSWCRBqn1vnqg7RO+Z9fLes+mfzaYfzfSDie+cLZsQIECAAAECBAgQIECgGYFF\nEqR6jO7SibNnvasfjL1Hon5Etn4fqSu1z5HdgikBAgQIECBAgAABAgRaEVgkQfp8OlXJ0HfP\nOnf3TK+ceHXiwtm6esTuBom6k6QQIECAAAECBAgQIECgKYFFEqTq2CmJByZeN5uv7yE9P1Hl\nfyfelKhk6eSEQoAAAQIECBAgQIAAgaYEtvuh2PnOPD4r6q5RJUlfTPxs4vWJKscl6s12D03U\n95AUAgQIECBAgAABAgQINCWwaIJ0Xnr3kMQJia8n6g5SVx6TmY8lKnFSCBAgQIAAAQIECBAg\n0JzAoo/YdR08PzP1MoZbJuqV31X+PSE5upjCfwgQIECAAAECBAgQaFFgNwnS0enoyxJfTtTr\nvus3kKqcknha4lK1oBAgQIAAAQIECBAgQKA1gUUfsfuWdPCdiasm6ntGl010pb5/9KRE/Ujs\ndyXqcTyFAAECBAgQIECAAAECzQgsegfpt9KzyyTqVd+3SFSy1JX7Z+ZXEv8lUS9qUAgQIECA\nAAECBAgQINCUwKIJ0t3Su+cl3rRBL7+RdU9J1O8l3WGD7VYRIECAAAECBAgQIEBg1AKLJEhX\nSE/qFd8f3qJH9Wa798/222I3mwgQIECAAAECBAgQIDA+gUUSpC+k+WcnbrtFNyqJqkfsPrTF\nPjYRIECAAAECBAgQIEBglAKLJEjVgVclTkj8TOKoRL9cKQt/mLhi4u/6G8wTIECAAAECBAgQ\nIECgBYFFE6T6MdizEs9NfCJxp8QNE69M1O8g3TdxcuIfEgoBAgQIECBAgAABAgSaElg0Qfpc\nevedid9L1A/FXjNx7UQlRlV+LlF3mBQCBAgQIECAAAECBAg0J7Do7yBVBz+d+MnEoxPXS1wr\ncXqi7ix1pX4s9mvdgikBAgQIECBAgAABAgRaENhNgtT1q17r/dFZdOvqh2NPStSdpqd1K00J\nECBAgAABAgQIECDQgsBOHrGrR+h+O/GRRP3G0d8kbp6YL/fIivclHpvYS+I1X69lAgQIECBA\ngAABAgQILEVgu0Sm3lT314ljZq25MNN7JW6X+PZEvfb7yES9tOHHE1Xenfizi+f8hwABAgQI\nECBAgAABAg0JbHcHqe4GVXJUd41uk7h64jcSV008KXG1RL2xrpKjryaekKjfSXpvQiFAgAAB\nAgQIECBAgEBTAtvdQbp9evOVxIMT9XhdlV9MfG+iHqk7OnHnxNsSP5b414RCgAABAgQIECBA\ngACBJgW2u4N0lfSqXsTQJUfVyYsS/5K4aeIHEs9IHJuQHAVBIUCAAAECBAgQIECgXYHt7iDV\nbx31k6Oup/8xm/n9TB/frTQlQIAAAQIECBAgQIBAywLb3UHarG8XzDa8YLMdrCdAgAABAgQI\nECBAgEBrArtNkLp+frabMSVAgAABAgQIECBAgEDrAntNkOr7SAoBAgQIECBAgAABAgTWQmC7\n7yBVJ6+TmP+eUb25rkq93vszF88d/J83ZfHNB6+yRIAAAQIECBAgQIAAgXEL7CRBun668Oub\ndONxm6x/ctZLkDbBsZoAAQIECBAgQIAAgXEKbJcgPT3Nrh+DXbTU7yIpBAgQIECAAAECBAgQ\naEpguwTppU31RmMJECBAgAABAgQIECCwB4G9vqRhD6d2KAECBAgQIECAAAECBMYlIEEa13ho\nDQECBAgQIECAAAECKxSQIK0Q36kJECBAgAABAgQIEBiXgARpXOOhNQQIECBAgAABAgQIrFBA\ngrRCfKcmQIAAAQIECBAgQGBcAhKkcY2H1hAgQIAAAQIECBAgsEIBCdIK8Z2aAAECBAgQIECA\nAIFxCUiQxjUeWkOAAAECBAgQIECAwAoFJEgrxHdqAgQIECBAgAABAgTGJSBBGtd4aA0BAgQI\nECBAgAABAisUkCCtEN+pCRAgQIAAAQIECBAYl4AEaVzjoTUECBAgQIAAAQIECKxQQIK0Qnyn\nJkCAAAECBAgQIEBgXAISpHGNh9YQIECAAAECBAgQILBCAQnSCvGdmgABAgQIECBAgACBcQlI\nkMY1HlpDgAABAgQIECBAgMAKBSRIK8R3agIECBAgQIAAAQIExiUgQRrXeGgNAQIECBAgQIAA\nAQIrFJAgrRDfqQkQIECAAAECBAgQGJeABGlc46E1BAgQIECAAAECBAisUECCtEJ8pyZAgAAB\nAgQIECBAYFwCEqRxjYfWECBAgAABAgQIECCwQgEJ0grxnZoAAQIECBAgQIAAgXEJSJDGNR5a\nQ4AAAQIECBAgQIDACgUkSCvEd2oCBAgQIECAAAECBMYlIEEa13hoDQECBAgQIECAAAECKxSQ\nIK0Q36kJECBAgAABAgQIEBiXgARpXOOhNQQIECBAgAABAgQIrFBAgrRCfKcmQIAAAQIECBAg\nQGBcAhKkcY2H1hAgQIAAAQIECBAgsEIBCdIK8Z2aAAECBAgQIECAAIFxCUiQxjUeWkOAAAEC\nBAgQIECAwAoFJEgrxHdqAgQIECBAgAABAgTGJSBBGtd4aA0BAgQIECBAgAABAisUkCCtEN+p\nCRAgQIAAAQIECBAYl4AEaVzjoTUECBAgQIAAAQIECKxQQIK0QnynJkCAAAECBAgQIEBgXAIS\npHGNh9YQIECAAAECBAgQILBCAQnSCvGdmgABAgQIECBAgACBcQlIkMY1HlpDgAABAgQIECBA\ngMAKBSRIK8R3agIECBAgQIAAAQIExiUgQRrXeGgNAQIECBAgQIAAAQIrFJAgrRDfqQkQIECA\nAAECBAgQGJeABGlc46E1BAgQIECAAAECBAisUODwFZ7bqacpcN10+wem2XW9JjBpgfrf/n9M\nWkDnCRAgQKAJAQlSE8O0Vo38r+lNhUKAwPQEXjS9LusxAQIECLQm4BG71kZMewkQIECAAAEC\nBAgQGExAgjQYrYoJECBAgAABAgQIEGhNwCN2rY1Y++19e7rw0va7oQcECCwo8MML7m93AgQI\nECCwEgEJ0krYJ33SD6T3z5m0gM4TmKbArabZbb0mQIAAgdYEPGLX2ohpLwECBAgQIECAAAEC\ngwlIkAajVTEBAgQIECBAgAABAq0JSJBaGzHtJUCAAAECBAgQIEBgMAEJ0mC0KiZAgAABAgQI\nECBAoDUBCVJrI6a9BAgQIECAAAECBAgMJiBBGoxWxQQIECBAgAABAgQItCYgQWptxLSXAAEC\nBAgQIECAAIHBBCRIg9GqmAABAgQIECBAgACB1gQkSK2NmPYSIECAAAECBAgQIDCYgARpMFoV\nEyBAgAABAgQIECDQmoAEqbUR014CBAgQIECAAAECBAYTOHywmsdR8aPSjCvsoilvyTFv3cVx\nDiFAgAABAgQIECBAoGGBdU+Qfjpjc8wuxufJOUaCtAu4bQ65MNt/OHGvbfazeT0FLjvr1lfW\ns3t6tY1A/bHqj7bZx2YCBAgQILBygXVPkOpC/BWJOyb+IvHCxE7Kh3eyk30WFnhqjnj1wkc5\nYF0E6g8WVX7nmxP/naDA2yfYZ10mQIAAgcYE1j1BOjvjcdfE6xOVLD0l8a6EshqBj+W0Fco0\nBe496/bLptl9vSZAgAABAgRaEFj3BKnG4GuJRybemXhu4s6JocuVc4JfSxyxwxPddIf72Y0A\nAQIECBAgQIAAgQEFpvIWu/fH8ImJegb+lgN6dlUfkplKPitB2kkc1h1oSoAAAQIECBAgQIDA\n6gSmcAep031WZiqWUc7NSU5Y4ET1tr36npRCgAABAgQXzwT4AAAhJElEQVQIECBAgMAKBaZy\nB2kz4rq7c5lE3fFRCBAgQIAAAQIECBCYuMDUE6RnZvzrlcO3mfjnQPcJLEPgzJzkjGWcyDkI\nECBAgAABArsVmNIjdrs1chwBAvsjcOL+VKMWAgQIECBAgMBwAlO/gzScrJoJECBAgAABAgQI\nEGhOQILU3JBpMAECBAgQIECAAAECQwlIkIaSVS8BAgQIECBAgAABAs0JTP07SKdkxN6R+Fhz\nI6fBBAgQIECAAAECBAjsu8DUE6TTIlqhECAwvMDxs1OcOvypnIEAAQIECBAgsDuBqSdIu1Nz\nFAECuxF4wOwgCdJu9BxDgAABAgQILEXAd5CWwuwkBAgQIECAAAECBAi0ICBBamGUtJEAAQIE\nCBAgQIAAgaUISJCWwuwkBAgQIECAAAECBAi0ICBBamGUtJEAAQIECBAgQIAAgaUISJCWwuwk\nBAgQIECAAAECBAi0IOAtdi2MkjYSWA+BC9ajG3pBgAABAgQIrLOABGmdR1ffCIxL4MRxNUdr\nCBAgQIAAAQKXFJAgXdLEGgIEhhE4a5hq1UqAAAECBAgQ2D8B30HaP0s1ESBAgAABAgQIECDQ\nuIAEqfEB1HwCBAgQIECAAAECBPZPQIK0f5ZqIkCAAAECBAgQIECgcQEJUuMDqPkEGhK4dtpa\noRAgQIAAAQIERivgJQ2jHRoNI7B2AifNenTC2vVMhwgQIECAAIG1EZAgrc1Q6giB0Qv492b0\nQ6SBBAgQIECAgEfsfAYIECBAgAABAgQIECAwE/AXXR8FAgQIECCwHIFr5jTHLedUzkKAwIgE\n6n/7nxpRezRlGwEJ0jZANhMgQIAAgX0QqIujhybuuQ91qYIAgfYEnt5ek6fbYgnSdMdezwkQ\nIEBgeQKPz6kqlGkKPCrdvijxgml2X68JtCXgO0htjZfWEiBAgAABAu0JHJsm37m9ZmsxgWkK\nuIM0zXHXawKrEHj5Kk7qnAQIECBAgACBRQQkSIto2ZcAgb0InLqXgx1LgAABAgQIEFiGgEfs\nlqHsHAQIECBAgAABAgQINCEgQWpimDSSAAECBAgQIECAAIFlCEiQlqHsHAQIECBAgAABAgQI\nNCHgO0hNDJNGEiBAgAABAg0LfKXhtms6gckJSJAmN+Q6TGBlAiflzPU7IL+8shY4MQECBFYj\n8JjVnNZZCRDYjYAEaTdqjiFAYDcCR+/mIMcQIEBgDQTOW4M+6AKByQj4DtJkhlpHCRAgQIAA\nAQIECBDYTkCCtJ2Q7QQIECBAgAABAgQITEZAgjSZodZRAgQIECBAgAABAgS2E5AgbSdkOwEC\nBAgQIEBgbwLH5PAKhQCBBgS8pKGBQdJEAgQIECBAoGmBn5+1/uFN90LjCUxEQII0kYHWTQIj\nEDgzbajXfCsECBCYmsAhU+uw/hJoWUCC1PLoaTuBtgRObKu5WkuAAAECBAhMUcB3kKY46vpM\ngAABAgQIECBAgMCGAhKkDVmsJECAAAECBAgQIEBgigISpCmOuj4TIECAAAECBAgQILChgO8g\nbchiJQECBAgQIEBg3wS8oGbfKFVEYHgBCdLwxs5AgMA3BY6fQZwKhAABAhMTeN7E+qu7BJoW\nkCA1PXwaT6ApgQfMWitBamrYNJYAgX0QOG0f6lAFAQJLEvAdpCVBOw0BAgQIECBAgAABAuMX\nkCCNf4y0kAABAgQIECBAgACBJQlIkJYE7TQECBAgQIAAAQIECIxfQII0/jHSQgIECBAgQKBt\ngSPT/AqFAIEGBLykoYFB0kQCBAgQIECgaYFnz1r/M033QuMJTERAgjSRgdZNAiMQuGAEbdAE\nAgQIrELgqFWc1DkJENidgARpd26OIkBgcYETFz/EEQQIECBAgACB5QpIkJbr7WwEpixw1pQ7\nr+8ECBAgQIBAGwJe0tDGOGklAQIECBAgQIAAAQJLEJAgLQHZKQgQIECAAAECBAgQaENAgtTG\nOGklAQIECBAgQIAAAQJLEPAdpCUgOwUBAhcLXHvm4LtIPhAECExN4G1T67D+EmhZQILU8uhp\nO4G2BE6aNfeEtpqttQQIENizwO/uuQYVECCwNAEJ0tKonYjA5AX8ezP5jwAAAgQIECAwfgHf\nQRr/GGkhAQIECBAgQIAAAQJLEpAgLQnaaQgQIECAAAECBAgQGL+ABGn8Y6SFBAgQIECAAAEC\nBAgsSUCCtCRopyFAgAABAgQmK/Co9NwLaiY7/DremoAEqbUR014CBAgQIECgNYFj0+A7t9Zo\n7SUwVQFvlZrqyOs3geULvHz5p3RGAgQIECBAgMBiAhKkxbzsTYDA7gVO3f2hjiRAgAABAgQI\nLEfAI3bLcXYWAgQIECBAgAABAgQaEJAgNTBImkiAAAECBAgQIECAwHIEJEjLcXYWAgQIECBA\ngAABAgQaEPAdpAYGSRMJECBAgACBpgW+0nTrNZ7AxAQkSBMbcN0lsEKBk3LuixK/vMI2ODUB\nAgRWIfCYVZzUOQkQ2J2ABGl3bo4iQGBxgaMXP8QRBAgQWAuB89aiFzpBYCICvoM0kYHWTQIE\nCBAgQIAAAQIEtheQIG1vZA8CBAgQIECAAAECBCYiIEGayEDrJgECBAgQIECAAAEC2wtIkLY3\nsgcBAgQIECBAYC8Cx+TgCoUAgQYEvKShgUHSRAIECBAgQKBpgZ+ftf7hTfdC4wlMRECCNJGB\n1k0CIxA4M22o13wrBAgQmJrAIVPrsP4SaFlAgtTy6Gk7gbYETmyruVpLgAABAgQITFHAd5Cm\nOOr6TIAAAQIECBAgQIDAhgISpA1ZrCRAgAABAgQIECBAYIoCEqQpjro+EyBAgAABAgQIECCw\noYDvIG3IYiUBAgQIECBAYN8EvKBm3yhVRGB4AQnS8MbOQIDANwWOn0GcCoQAAQITE3jexPqr\nuwSaFpAgNT18Gk+gKYEHzForQWpq2DSWAIF9EDhtH+pQBQECSxLwHaQlQTsNAQIECBAgQIAA\nAQLjF5AgjX+MtJAAAQIECBAgQIAAgSUJSJCWBO00BAgQIECAAAECBAiMX0CCNP4x0kICBAgQ\nIECgbYEj0/wKhQCBBgS8pKGBQdJEAgQIECBAoGmBZ89a/zNN90LjCUxEQII0kYHWTQIjELhg\nBG3QBAIECKxC4KhVnNQ5CRDYnYAEaXdujiJAYHGBExc/xBEECBAgQIAAgeUKSJCW6+1sBKYs\ncNaUO6/vBAgQIECAQBsCXtLQxjhpJQECBAgQIECAAAECSxCQIC0B2SkIECBAgAABAgQIEGhD\nQILUxjhpJQECBAgQIECAAAECSxDwHaQlIDsFAQIXC1x75uC7SD4QBAhMTeBtU+uw/hJoWUCC\n1PLoaTuBtgROmjX3hLaarbUECBDYs8Dv7rkGFRAgsDQBCdLSqJ2IwOQF/Hsz+Y8AAAIECBAg\nMH4B30Ea/xhpIQECBAgQIECAAAECSxKQIC0J2mkIECBAgAABAgQIEBi/gARp/GOkhQQIECBA\ngAABAgQILElAgrQkaKchQIAAAQIEJivwqPTcC2omO/w63pqABKm1EdNeAgQIECBAoDWBY9Pg\nO7fWaO0lMFUBb5Wa6sjrN4HlC7x8+ad0RgIECBAgQIDAYgISpMW87E2AwO4FTt39oY4kQIAA\nAQIECCxHwCN2y3F2FgIECBAgQIAAAQIEGhCQIDUwSJpIgAABAgQIECBAgMByBCRIy3F2FgIE\nCBAgQIAAAQIEGhDwHaQGBkkTCRAgQIAAgaYFvtJ06zWewMQEJEgTG3DdJbBCgZNy7osSv7zC\nNjg1AQIEViHwmFWc1DkJENidgARpd26OIkBgcYGjFz/EEQQIEFgLgfPWohc6QWAiAr6DNJGB\n1k0CBAgQIECAAAECBLYXkCBtb2QPAgQIECBAgAABAgQmIiBBmshA6yYBAgQIECBAgAABAtsL\nSJC2N7IHAQIECBAgQGAvAsfk4AqFAIEGBLykoYFB0kQCBAgQIECgaYGfn7X+4U33QuMJTERA\ngjSRgdZNAiMQODNtqNd8KwQIEJiawCFT67D+EmhZQILU8uhpO4G2BE5sq7laS4AAAQIECExR\nwHeQpjjq+kyAAAECBAgQIECAwIYCEqQNWawkQIAAAQIECBAgQGCKAhKkKY66PhMgQIAAAQIE\nCBAgsKGA7yBtyGIlAQIECBAgsI8CJ6SuR+xjfa1VdaNZg9/SWsP3sb0vTF0v2Mf6VEVgMAEJ\n0mC0KiZAYE7g+NnyqXPrLRIgsP4C704X/2r9u7lpD68z2/KJTfdY/w31GVAINCEgQWpimDSS\nwFoIPGDWCwnSWgynThBYSOC07F2hECBAYPQCvoM0+iHSQAIECBAgQIAAAQIEliUgQVqWtPMQ\nIECAAAECBAgQIDB6AQnS6IdIAwkQIECAAAECBAgQWJaABGlZ0s5DgAABAgQIECBAgMDoBSRI\nox8iDSRAgAABAgQIECBAYFkC3mK3LGnnIUDgAgQECBAgQIAAgbELSJDGPkLaR2B9BE5cn67o\nCQECBAgQILCuAhKkdR1Z/SIwPoGzxtckLSJAgAABAgQIHCzgO0gHe1giQIAAAQIECBAgQGDC\nAhKkCQ++rhMgQIAAAQIECBAgcLCABOlgD0sECBAgQIAAAQIECExYQII04cHXdQJLFrh2zleh\nECBAgAABAgRGKzC1lzRUQnjhFqNxWLZdIfHVxHlb7GcTAQKLC5w0O+SExQ91BAECBAgQIEBg\nOQJTuIN0zVD+SeLcxBcSr00cm9io3DIra7/Hb7TROgIE9iRQf5CZ2h9l9gTmYAIECBAgQGD5\nAuueIB0V0rcnHpSou0MfTxyXeEPiVxIKAQIECBAgQIAAAQIE/q/AuidIj0tPr5t4SuJbEzdP\n3DbxvsQTE89OKAQIECBAgAABAgQIELhYYN0TpDull+cknpb44sU9PnDgHZl+T+KNiV9IVBKl\nECBAgAABAgQIECBA4MC6J0jXyRhXInTB3Fh/PsvHJ96TeHqiHsFTCBAgQIAAAQIECBCYuMC6\nJ0hnZHy/N3HpDca5Xthw70R9L+lFic1e3JBNCgECBAgQIECAAAECUxA4fM07+Q/p3z0Tv5r4\njcRZiX75RBbunqi7TH+TeEZiP8pVU8mzEkfssLIb7XA/uxFoWeDlLTde2wkQIECAAIFpCKz7\nHaTfzjB+IFHfNfqPxA8l5suHs+Ieifp9pPquUpVDvjnZ9X+rri8lvrzD+MzsTF+fTU0IrKPA\nqelUhUKAAAECBAgQILBCgXrV928mPpb4wS3aUXdxXpW4KPHkxDLLHXOyOu+RyzypcxEgQIAA\nAQIECBDYB4G6hq1r2bqmVRoTmL9jVo/AXSbRv2NUrwGvH4xdZpEgLVPbuQgQIECAAAECBPZT\nYK0SpPmEYT+hxlhXPfrWL8/MwlcSt+mtrB+WfW9v2SwBAgQIECBAgAABAhMRmFqCNJFh1U0C\nBAgQIECAAAECBHYjIEHajZpjCBDYjcBJOegpuznQMQQIECBAgACBZQms+2u+l+XoPAQIbC9w\n9Pa72IMAAQIECBAgsFoBd5BW6+/sBAgQIECAAAECBAiMSGDqd5BOyVi8I1GvAFcIECBAgAAB\nAgQIEJi4wNQTpNMy/hUKAQIECBAgQIAAAQIEDnjEzoeAAAECBAgQIECAAAECMwEJko8CAQIE\nCBAgQIAAAQIEZgJTf8TOB4EAgeUJnJlTXbS80zkTAQIECBAgQGBxAQnS4maOIEBgdwIn7u4w\nRxEgQIAAAQIElifgEbvlWTsTAQIECBAgQIAAAQIjF5AgjXyANI8AAQIECBAgQIAAgeUJSJCW\nZ+1MBAgQIECAAAECBAiMXECCNPIB0jwCBAgQIECAAAECBJYnIEFanrUzEZi6wPEBqFAIECBA\ngAABAqMV8Ba70Q6NhhFYO4EHzHp06tr1TIcIECBAgACBtRFwB2lthlJHCBAgQIAAAQIECBDY\nq4AEaa+CjidAgAABAgQIECBAYG0EJEhrM5Q6QoAAAQIECBAgQIDAXgUkSHsVdDwBAgQIECBA\ngAABAmsjIEFam6HUEQIECBAgQIAAAQIE9irgLXZ7FXQ8gZ0LnJhdH7/z3dduzyNnPXrg2vVs\n5x16enY9aee725MAAQIECBBYtoAEadnizjdlgRek86dNGOAqs76fO2GDd0+477pOgAABAgSa\nEJAgNTFMGrkmAmelHxUKAQIECBAgQIDASAV8B2mkA6NZBAgQIECAAAECBAgsX0CCtHxzZyRA\ngAABAgQIECBAYKQCEqSRDoxmESBAgAABAgQIECCwfAEJ0vLNnZEAAQIECBAgQIAAgZEKSJBG\nOjCaRYAAAQIECBAgQIDA8gUkSMs3d0YCBAgQIECAAAECBEYqIEEa6cBoFgECBAgQIECAAAEC\nyxeQIC3f3BkJECBAgAABAgQIEBipgARppAOjWQQIECBAgAABAgQILF9AgrR8c2ckQIAAAQIE\nCBAgQGCkAhKkkQ6MZhEgQIAAAQIECBAgsHwBCdLyzZ2RAAECBAgQIECAAIGRCkiQRjowmkWA\nAAECBAgQIECAwPIFJEjLN3dGAgQIECBAgAABAgRGKiBBGunAaBYBAgQIECBAgAABAssXkCAt\n39wZCRAgQIAAAQIECBAYqYAEaaQDo1kECBAgQIAAAQIECCxfQIK0fHNnJECAAAECBAgQIEBg\npAISpJEOjGYRIECAAAECBAgQILB8gcOXf0pn3ELgyC222URgHQSOWIdO6AMBAgR2IfD1XRzj\nEAKtCKzVNawEaRwfu+4fzS+OozlaQYAAAQIECBAgQGBhgfMXPmKEBxwywjZNtUnflY776/pU\nR38a/X5yunlU4uSEQoAAgSkJPCyd/VLiyQmFwLoKVHL0jnXonDtI4xnF08bTFC0hMIjAJ2e1\n/v4gtauUAAEC4xU4dta0t463iVpGgEAn4CUNnYQpAQIECBAgQIAAAQKTF5AgTf4jAIAAAQIE\nCBAgQIAAgU5AgtRJmBIgQIAAAQIECBAgMHkBCdLkPwIACBAgQIAAAQIECBDoBCRInYQpAQIE\nCBAgQIAAAQKTF5AgTf4jAIAAAQIECBAgQIAAgU5AgtRJmBIgQIAAAQIECBAgMHkBCdLkPwIA\nCBAgQIAAAQIECBDoBCRInYQpAQIECBAgQIAAAQKTFzh88gIACBBYlsD5yzqR8xAgQGBkAv79\nG9mAaA4BAgQIEBiDwFXSiAqFAAECUxPw79/URlx/CRAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAA\nAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQGAnAoftZCf7ECBAYA8C9e/MHRO3\nS1yQODehECBAYGoC90uH69/D/5xax/WXAAECBAgQ+H8CN8nsBxMX9eL9mb9uQiFAgMBUBB6V\njta/g4+dSof1kwABAgQIELikwCFZ9YbEFxI/mrhxoi4SvpI4I3G5hEKAAIF1F7hvOnh+QoK0\n7iOtfwQIECBAYBuBn8r2uiD4ibn9ur+kzq+f280iAQIEmha4alp/SqL+HTxvNnUHKRAKAQIE\nCBCYqsDb0vG6KLjSHMAVsvzVxNvn1lskQIDAOgnUv4GVHL0s8ZDZvAQpEAqBsQscOvYGah8B\nAk0KHJFWH5P4SOJzcz2oR+4+lLhVovZTCBAgsI4C70in7p54UGL+38F17K8+EVgbgcPXpic6\nQoDAmASunMYcmfjMJo2qN9lVcnT1xFmb7GM1AQIEWhb46ZYbr+0EpizgDtKUR1/fCQwnUI/R\nVfn0NyeX+G/3qm8vargEjRUECBAgQIDAKgUkSKvUd24C6ytQ3z2qstm/Md1vsH3jm7v5LwEC\nBAgQIEBgHAKbXbyMo3VaQYBAqwJnp+H15eSrbNKBbv3nN9luNQECBAgQIEBgJQISpJWwOymB\ntRe4ID08J9ElQvMdrvX1e0i+uDwvY5kAAQIECBBYqYAEaaX8Tk5grQU+mN7dInG1uV7Wixm+\nLVFvePKI3RyORQIECBAgQGC1AhKk1fo7O4F1FnhuOldvynzEXCcfOVv/W3PrLRIgQIAAAQIE\nCBAgQGBtBeoPMB9I1F2ipya+N/G02fIrMlUIECAwFYEfSEfre5l+KHYqI66fBAgQIEBgE4F6\nvO5ViQsTdXFQ8beJayUUAgQITEVAgjSVkdZPAgQIECCwQ4HLZ7/bJCRGOwSzGwECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIEBgCIHDhqhUnQQIECBAYIcCt8t+\nFR9NfGOHx3S7fX9mvi3x4W7FBtNbZt2xiS8kvji3vf4/8JjEPRP3T1wvcUji3MR2banj7pg4\nMvGphEKAAAECBAgQIECAAIE9C/xpargocfVd1PSZHPPVbY57TrZX/Q+Y2+9aWX7TbFtt78f7\nsnzjxFblQ9lYx3xwq51sI0CAAIH2BA5tr8laTIAAAQJrJPDO9OWvE+cvsU+XyrlOS9wp8YzZ\ntBKiuiP0a4mbJv45sVmSVMfdLFF13Dxxl4RCgAABAgQIECBAgACBlQrs9g7SvdLquvvzJ5u0\n/vdn2//XJtv/IOvrEbxbJy5MbFZPNikECBAg0JrA4a01WHsJECBAYK0Ejktvrp+oJOO8RJX6\nHlB9L+gOiaMS9Tjb6xMfSexHqcSmymu/ObnEf389a+p7URs99lfteVDiHYl3Jd6c+G+JayXO\nTigECBAgQIAAAQIECBDYtcD8d5COSE2vStQdngsSn5rNfy3Tn0n0y27vIH13Kqn66/tDN+lX\nuIP5h2efOvZxs31/crb8pNmyCQECBAgQIECAAAECBHYtMJ8gPSQ1VQJS3w26/KzWW2R6VqJe\nyHCl2bqa7DZBqrfXnZKo89Sjcm9NPCVxXKK+n7RVeWM2VuJWd4yqVHuqXacnfK83CAoBAgQI\nECBAgAABArsXmE+QfiVVVeJy17kq75HlRyeu2Vu/2wSpqjgk8T8TH0/U+br4cub/OHHdxHyp\nFzPUfvVSiX55aRZq/fH9leYJECBAgAABAgQIECCwqMB8gvRfU0ElG/WbRb+TuE/icomNyl4S\npK6+SpTqN43qkbm/SXwlUec/J3Fcol/qu0m17YH9lZn/vtn6+cRpbjeLBAgQIECAAAECBAgQ\n2FpgPkGqvR+Z+FyikpGK8xKnJm6f6Je6+1OPyFWSs1l5YTZUHTu9u1MvYXh2ot5O99FEV+ql\nRvWYX9VV5z2jF/8xW19tuX5CIUCAAAECBAgQIECAwK4ENkqQqqJLJyqpeW7i3xKVmNSLGu6S\n6Mp7MlPrr9yt2GD6qtk+x862VaJzSuJ3Z8ubTf4+G6rub5vtUG2p5foR2ZdtEG+fbf/VTBUC\nBAgQIECAAAECBAjsSmA+Qbpxarn3BjU9PusqQfm93rb6rlCt2+zu0KWy7ZOJurPTT6LelOW6\nQ/Stic1KvXa86r7BbIc/ny3fZbY8P6l21/711r0j5zdaJkCAAAECBAgQIECAwE4E5hOkLhH5\n/rmD757lSkCe01t//9m6evTt6N76mq3H7p6SqGP+MtEv9X2jWv/Piev1N8zm75bplxPvnS1f\nI9PzE2ckqt7Nyuuyoer9oc12sJ4AAQIECBAgQIAAAQJbCcwnSHfNznXH5+OJeqPdPRO/lKjH\n7Oq7SLdN9MtJWaik5POJesnCUxO/k6gfca319UjcFRP9Uo/vvSRR27+QeE3i6Ylnzebr7tKn\nE9+TqPLYRO273eNzPzbb7/WZKgQIECBAgAABAgQIEFhYYD5Bqgr+e+L0RCUlFZWwvD9x+8RG\npRKoNye6N9DV/nX3pxKl6yU2K/Wa70qkKvHqzvXZzL8qcaNEV+rctf0W3YpNpv9/e/eKAyAM\nRAFQgEJwDgyG+x+ubx1pC8GSjFjR148Y16SbbsnrovZl7cMRYgIECBAgQIAAAQIECIwC9elq\n9QhdqX2cniZr0jN17zeaLuzCJeMjVX1Eb0/oum2GBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECA\nAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ+INAA8rjUawnredY\nAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Residuals on isUSA”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot our residuals on isUSA\n",
    "boxplot(resids ~ mainFrame$isUSA,xlab = \"isUSA\",ylab = \"Residuals\",\n",
    "        main = \"Residuals on isUSA\")\n",
    "abline(0,0,col = \"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 6: Residuals on isUSA._\n",
    "\n",
    "We see that while the boxes are quite similar, it is very possible that there is some nonlinearity due to the fact that the medians of the two boxplots look to be on opposite sides of the ideal residual line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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\nAgQIECDw/xf4N1ff2Dj20M9SAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Residuals on Gender”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(resids ~ mainFrame$gender,xlab = \"Gender\",ylab = \"Residuals\",\n",
    "        main = \"Residuals on Gender\")\n",
    "abline(0,0,col = \"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 7: Residuals on Gender._\n",
    "\n",
    "We see very obvious break of linearity when we compare the residuals of persons who identify as women and men to residuals of persons who do not identify on the binary. That being said, this may be a biased visualization due to the fact that there are way fewer individuals who identify as other in this dataset than those who identify as female and male (see Figure 2)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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\nAQIECBAgQIAAAQL3UYH/AxvDm+3P+7SkAAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Residuals on Role Type”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "boxplot(resids ~ mainFrame$roleType,xlab = \"Role Type\",ylab = \"Residuals\",\n",
    "        main = \"Residuals on Role Type\")\n",
    "abline(0,0,col = \"red\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 8: Residuals on Role Type._\n",
    "\n",
    "Despite the slight median shift, it looks like there isn't significant non-linearity in this context._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Waiting for profiling to be done...\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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\nIECAAAECBAgQIECAAAECBAgQ2M8C/x/3AZslPAbfQgAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “Change to Expected MHD by company size”"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#contrasts for company size\n",
    "#idea comes from solutions-08.Rmd, 36-401 Modern Regression\n",
    "cSizeNames = c(\"factor(companySize)Self-Employed\",\"factor(companySize)6-25\",\n",
    "               \"factor(companySize)26-100\",\"factor(companySize)100-500\",\n",
    "               \"factor(companySize)500-1000\",\n",
    "               \"factor(companySize)More than 1000\")\n",
    "companySizeContrasts = coefficients(initialMod.logr)[cSizeNames]\n",
    "#include baseline\n",
    "companySizeContrasts = c(0,companySizeContrasts)\n",
    "companySizeCIs = confint(initialMod.logr, parm=cSizeNames)\n",
    "#include baseline\n",
    "companySizeCIs = rbind(c(0,0),companySizeCIs)\n",
    "#on daily usage\n",
    "plot(1:(length(cSizeNames) + 1),companySizeContrasts,\n",
    "     xlab=\"Versus Company Size 1-5\",\n",
    "     ylab=\"Change to expected MHD\", ylim=c(min(companySizeCIs),\n",
    "                                             max(companySizeCIs)),\n",
    "     main=\"Change to Expected MHD by company size\")\n",
    "segments(x0=1:(length(cSizeNames) + 1), y0=companySizeCIs[,1],\n",
    "         x1=1:(length(cSizeNames) + 1), y1=companySizeCIs[,2])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 9: Change to expected link value versus company size._\n",
    "\n",
    "It is apparent that none of these levels are really making large changes to the link response. In particular, none are really changing from the baseline. It may be useful to start considering the option of removing the company size variable completely from the regression."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Model Selection\n",
    "\n",
    "We will perform the following steps to perform our model selection procedure:\n",
    "\n",
    "* We will first split our dataset in half, where one half will become our test set. the other half (our selection set) will be split further into a 20-80 split, where $80\\%$ of this half will become our training set and $20\\%$ of this set will become our validation set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#do test-selection split\n",
    "numObs = dim(mainFrame)[1]\n",
    "testRows = sample(1:numObs,round(numObs / 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "testFrame = mainFrame[testRows,]\n",
    "selectionFrame = mainFrame[-testRows,]\n",
    "write.csv(testFrame,\"../data/processed/test.csv\",row.names = FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#do train-validation split\n",
    "numSelectionObs = dim(selectionFrame)[1]\n",
    "trainProp = .8\n",
    "#reset rownames\n",
    "rownames(selectionFrame) = NULL\n",
    "#then get training rows\n",
    "trainRows = sample(1:numSelectionObs,\n",
    "                   round(numSelectionObs * trainProp))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "trainFrame = selectionFrame[trainRows,]\n",
    "valFrame = selectionFrame[-trainRows,]\n",
    "write.csv(trainFrame,\"../data/processed/train.csv\",row.names = FALSE)\n",
    "write.csv(valFrame,\"../data/processed/validation.csv\",row.names = FALSE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#load in older datasets\n",
    "trainFrame = read.csv(\"../data/processed/train.csv\")\n",
    "valFrame = read.csv(\"../data/processed/validation.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* We will then fit both our decision tree and logistic regression models using the train frame, and then select our model using fit on the validation set.\n",
    "\n",
    "* Prior to selecting the model on the validation set, we will select our variables for our logistic regression using a leave-one-out (LOOCV) cross-validation method on the training set accross a variety of different models. In particular, we will consider reintroducing the interaction between age and gender and role type and company size, consider removing the interactions between gender and isUSA and between gender and role type, and we will consider removing the companySize variable from use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#build out all possible models to consider\n",
    "#idea came from solutions-08.Rmd\n",
    "#helper script for creating all of our new model formulae\n",
    "formulaeVec = vector(length = 0,mode=\"character\")\n",
    "#hardcoded default initialMod.lm\n",
    "initialTerms = c(\"age\",\"factor(gender)\",\"factor(roleType)\",\"factor(isUSA)\",\n",
    "                 \"factor(companySize)\",\"factor(gender):factor(roleType)\",\n",
    "                 \"factor(gender):factor(isUSA)\")\n",
    "counter = 0 #to keep track of options\n",
    "#loop through choices\n",
    "for (ageGenderInt in c(TRUE,FALSE)){\n",
    "    for (roleSizeInt in c(TRUE,FALSE)){\n",
    "        for (genderRoleInt in c(TRUE,FALSE)){\n",
    "            for (genderUSInt in c(TRUE,FALSE)){\n",
    "                for (incCompanySize in c(TRUE,FALSE)){\n",
    "                    givenTerms = initialTerms\n",
    "                    if (ageGenderInt){\n",
    "                        #include the interaction\n",
    "                        givenTerms = union(givenTerms,\n",
    "                                           \"age:factor(gender)\")\n",
    "                    }\n",
    "                    if (incCompanySize){\n",
    "                        #consider company size variables\n",
    "                        if (roleSizeInt){\n",
    "                            givenTerms = union(givenTerms,\n",
    "                                    \"factor(roleType):factor(companySize)\")\n",
    "                        }\n",
    "                    }\n",
    "                    if (!genderRoleInt){ #remove\n",
    "                        givenTerms = setdiff(givenTerms,\n",
    "                                    \"factor(gender):factor(roleType)\")\n",
    "                    }\n",
    "                    if (!genderUSInt){\n",
    "                        givenTerms = setdiff(givenTerms,\n",
    "                                    \"factor(gender):factor(isUSA)\")\n",
    "                    }\n",
    "                    if (!incCompanySize){ #remove it\n",
    "                        givenTerms = setdiff(givenTerms,\"factor(companySize)\")\n",
    "                    }\n",
    "                    #then make new formula\n",
    "                    newForm = paste(\"diagnosedWithMHD ~\",\n",
    "                                 paste(givenTerms,collapse=\"+\"))\n",
    "                    formulaeVec = union(formulaeVec,newForm)\n",
    "                }\n",
    "            }\n",
    "        }\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#quick helper for getting brier score\n",
    "brierScore <- function(givenMod,predictFrame){\n",
    "    #quick helper for calculating the brier score of a given model\n",
    "    predictions = predict(givenMod,newdata = predictFrame,type = \"response\")\n",
    "    bScore = mean((predictFrame$diagnosedWithMHD - predictions)^2)\n",
    "    return(bScore)\n",
    "}\n",
    "#helper for running cross validation\n",
    "crossVal <- function(givenForm,givenFrame,numFolds = 5){\n",
    "    #helper for running cross validation\n",
    "    scoreVec = rep(0,numFolds)\n",
    "    #run through fold options\n",
    "    for (i in 1:numFolds){\n",
    "        #get test and train folds\n",
    "        testFold = givenFrame[which(givenFrame$fold == i),]\n",
    "        trainFold = givenFrame[which(givenFrame$fold != i),]\n",
    "        #fit our model using the train fold\n",
    "        newMod.logr = glm(givenForm,trainFold,family = \"binomial\")\n",
    "        #get brier score\n",
    "        scoreVec[i] = brierScore(newMod.logr,testFold)\n",
    "    }\n",
    "    #then return mean of score vector\n",
    "    return(mean(scoreVec))\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#make fold assignment on trainframe\n",
    "trainFrame$fold = sample(1:5,size = dim(trainFrame)[1],replace = TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#then run through proces\n",
    "cvVec = lapply(formulaeVec,crossVal,givenFrame = trainFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1] \"The best formula is diagnosedWithMHD ~ age+factor(gender)+factor(roleType)+factor(isUSA)+age:factor(gender)\"\n",
      "[1] \"The second-best formula is diagnosedWithMHD ~ age+factor(gender)+factor(roleType)+factor(isUSA)\"\n"
     ]
    }
   ],
   "source": [
    "optIndex = which.min(cvVec)\n",
    "bestFormula <- formulaeVec[optIndex]\n",
    "secondOptIndex = which.min(cvVec[-optIndex])\n",
    "secondBestFormula = formulaeVec[-optIndex][secondOptIndex]\n",
    "print(paste(\"The best formula is\",bestFormula))\n",
    "print(paste(\"The second-best formula is\",secondBestFormula))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see, our best formula by our cross-validation method removes our company size variable and includes the interaction between age and gender. The second best formula is also quite close, removing the interaction between gender and age. Since the second-best formula seems to remove an interaction between two variables that I believe to be very important for predicting diagnosis, I think it might be useful to consider both of these models in our model selection step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "bestLRMod.logr = glm(bestFormula,data = trainFrame,family = \"binomial\")\n",
    "secondBestLRMod.logr = glm(secondBestFormula,data = trainFrame,\n",
    "                           family = \"binomial\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us now fit our decision tree on our training data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "treeMod.tree = tree(diagnosedWithMHD ~ age + factor(gender)\n",
    "                       + factor(roleType) + factor(isUSA) + factor(companySize),\n",
    "                    data = trainFrame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA0gAAANICAYAAAD958/bAAAEDWlDQ1BJQ0MgUHJvZmlsZQAA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\nAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#then plot\n",
    "plot(treeMod.tree)\n",
    "text(treeMod.tree,pretty = 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Figure 10: Decision tree fitted to our training dataset._\n",
    "\n",
    "We see that now our model seems to be also including age as a relevant variable.\n",
    "\n",
    "Let us see how well these models perform on the validation set using the Brier Score benchmark."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead><tr><th scope=col>modelName</th><th scope=col>brierScore</th></tr></thead>\n",
       "<tbody>\n",
       "\t<tr><td>Best Logistic Regression       </td><td>0.2226                         </td></tr>\n",
       "\t<tr><td>Second-Best Logistic Regression</td><td>0.2274                         </td></tr>\n",
       "\t<tr><td>Decision Tree                  </td><td>0.2335                         </td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "\\begin{tabular}{r|ll}\n",
       " modelName & brierScore\\\\\n",
       "\\hline\n",
       "\t Best Logistic Regression        & 0.2226                         \\\\\n",
       "\t Second-Best Logistic Regression & 0.2274                         \\\\\n",
       "\t Decision Tree                   & 0.2335                         \\\\\n",
       "\\end{tabular}\n"
      ],
      "text/plain": [
       "  modelName                       brierScore\n",
       "1 Best Logistic Regression        0.2226    \n",
       "2 Second-Best Logistic Regression 0.2274    \n",
       "3 Decision Tree                   0.2335    "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#get their brier scores\n",
    "bestLRModBS = brierScore(bestLRMod.logr,valFrame)\n",
    "secondBestLRModBS = brierScore(secondBestLRMod.logr,valFrame)\n",
    "#calculate brier score of the decision tree\n",
    "decTreePredictions = predict(treeMod.tree,newdata = valFrame)\n",
    "decTreeBS = mean((valFrame$diagnosedWithMHD - decTreePredictions)^2)\n",
    "#print out information\n",
    "brierScoreFrame = data.frame(modelName = c(\"Best Logistic Regression\",\n",
    "                                           \"Second-Best Logistic Regression\",\n",
    "                                           \"Decision Tree\"),\n",
    "                             brierScore = c(bestLRModBS,secondBestLRModBS,\n",
    "                                            decTreeBS))\n",
    "brierScoreFrame$brierScore = signif(brierScoreFrame$brierScore,sigLev + 1)\n",
    "brierScoreFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "_Table 6: Models by performance on predicting the validation set._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that our best logistic regression has the best brier score for predicting the data out-of-sample. Thus, we will choose this model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#get formula\n",
    "finalModelFormula = bestFormula\n",
    "#then export information\n",
    "if (!dir.exists(\"../models\")){\n",
    "    dir.create(\"../models\")\n",
    "}\n",
    "write(finalModelFormula,\"../models/finalLogisticRegressionFormula.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "3.3.3"
  },
  "latex_envs": {
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 0
  },
  "nav_menu": {},
  "toc": {
   "navigate_menu": true,
   "number_sections": false,
   "sideBar": true,
   "threshold": 6,
   "toc_cell": true,
   "toc_section_display": "block",
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}